From 8aed04898ccecd39c749e35016206194951e2044 Mon Sep 17 00:00:00 2001
From: KimiSwitch Dev <dev@kimiswitch.local>
Date: Wed, 5 Aug 2026 23:38:05 +0800
Subject: [PATCH] =?UTF-8?q?feat(subagent):=20=E5=AE=9E=E9=AA=8C=E5=8A=9F?=
 =?UTF-8?q?=E8=83=BD=E8=AE=BE=E7=BD=AE=E6=96=B0=E5=A2=9E=E5=AD=90=E4=BB=A3?=
 =?UTF-8?q?=E7=90=86=E6=A8=A1=E5=9E=8B=E9=85=8D=E7=BD=AE?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

- 子代理设置页支持选择次主力模型，仅保存模型引用（不再写补丁字段），
  子代理直接继承所选模型的上下文长度与思考模式
- 界面只读展示继承的上下文长度与思考模式，移除补丁编辑项
- 仪表盘统计识别子代理请求（__secondary__）：归为「子代理模型（估算）」
  并缓存次主力模型定价；自定义网关模型价格按官方同名模型跨 provider 匹配
- bump v0.7.1
---
 package.json                                  |     2 +-
 src-tauri/Cargo.lock                          |     2 +-
 src-tauri/Cargo.toml                          |     2 +-
 src-tauri/src/commands.rs                     |    31 +
 src-tauri/src/dashboard.rs                    |   104 +-
 src-tauri/src/kimi_code_io.rs                 |   103 +
 src-tauri/src/lib.rs                          |     1 +
 src-tauri/tauri.conf.json                     |     2 +-
 src/App.tsx                                   |    23 +-
 src/components/AgentSettingsPanel.tsx         |   101 +-
 src/components/SubagentSettingsPage.tsx       |   239 +
 src/components/dashboard/DailyBars.tsx        |     4 +
 src/components/dashboard/DailyDetailModal.tsx |     8 +-
 src/components/dashboard/DashboardPage.tsx    |    12 +-
 src/components/ui/controls.tsx                |   104 +
 src/i18n/en.ts                                |    31 +
 src/i18n/zh.ts                                |    31 +
 src/lib/models-dev-full.json                  | 13561 ++++++++++------
 src/lib/models-dev.json                       | 10994 ++++++++-----
 src/lib/subagent-settings.ts                  |   155 +
 src/types/dashboard.ts                        |     4 +
 src/types/index.ts                            |    16 +
 22 files changed, 16648 insertions(+), 8882 deletions(-)
 create mode 100644 src/components/SubagentSettingsPage.tsx
 create mode 100644 src/components/ui/controls.tsx
 create mode 100644 src/lib/subagent-settings.ts

diff --git a/package.json b/package.json
index 6dcb76e..6cecd77 100644
--- a/package.json
+++ b/package.json
@@ -1,7 +1,7 @@
 {
   "name": "kimiswitch",
   "private": true,
-  "version": "0.7.0",
+  "version": "0.7.1",
   "type": "module",
   "scripts": {
     "dev": "vite",
diff --git a/src-tauri/Cargo.lock b/src-tauri/Cargo.lock
index 86069fa..10cd892 100644
--- a/src-tauri/Cargo.lock
+++ b/src-tauri/Cargo.lock
@@ -1958,7 +1958,7 @@ dependencies = [
 
 [[package]]
 name = "kimiswitch"
-version = "0.7.0"
+version = "0.7.1"
 dependencies = [
  "anyhow",
  "chrono",
diff --git a/src-tauri/Cargo.toml b/src-tauri/Cargo.toml
index d7661a0..8572f04 100644
--- a/src-tauri/Cargo.toml
+++ b/src-tauri/Cargo.toml
@@ -1,6 +1,6 @@
 [package]
 name = "kimiswitch"
-version = "0.7.0"
+version = "0.7.1"
 description = "Kimi Switch - model config manager"
 authors = ["you"]
 edition = "2021"
diff --git a/src-tauri/src/commands.rs b/src-tauri/src/commands.rs
index 8ed4739..d70888b 100644
--- a/src-tauri/src/commands.rs
+++ b/src-tauri/src/commands.rs
@@ -1078,3 +1078,34 @@ pub async fn kimi_oauth_poll(
 ) -> Result<crate::oauth::DevicePollStatus, String> {
     crate::oauth::poll_device_token(&device_code, interval).await
 }
+
+// ---------------------------------------------------------------------------
+// Experimental feature env-var probe (Kimi Code secondary model etc.)
+// ---------------------------------------------------------------------------
+
+/// Read the Kimi Code experimental-feature environment variables that are
+/// currently set (non-empty) in this process's environment. The frontend
+/// uses the result to mark config.toml `[experimental]` toggles as locked:
+/// env vars outrank the config file in Kimi Code's flag resolution.
+///
+/// Truthy values per the CLI: `1` / `true` / `yes` / `on` (case-insensitive);
+/// the raw values are returned and the truthy check happens on the frontend.
+#[tauri::command]
+pub fn get_experimental_env_status() -> HashMap<String, String> {
+    const VARS: [&str; 5] = [
+        "KIMI_CODE_EXPERIMENTAL_FLAG",
+        "KIMI_CODE_EXPERIMENTAL_SECONDARY_MODEL",
+        "KIMI_CODE_EXPERIMENTAL_TOOL_SELECT",
+        "KIMI_CODE_EXPERIMENTAL_ACP_V2",
+        "KIMI_CODE_EXPERIMENTAL_PERSISTENCE_MINIDB_READMODEL",
+    ];
+    let mut out = HashMap::new();
+    for name in VARS {
+        if let Ok(value) = std::env::var(name) {
+            if !value.trim().is_empty() {
+                out.insert(name.to_string(), value);
+            }
+        }
+    }
+    out
+}
diff --git a/src-tauri/src/dashboard.rs b/src-tauri/src/dashboard.rs
index b114239..d659911 100644
--- a/src-tauri/src/dashboard.rs
+++ b/src-tauri/src/dashboard.rs
@@ -149,6 +149,9 @@ pub struct ModelRow {
     pub model_resolved: String,
     pub price_id: String,
     pub cost_estimated: bool,
+    /// True when any aggregated record came from a subagent request (Kimi Code
+    /// `__secondary__` marker, resolved to the configured secondary model).
+    pub is_secondary: bool,
     pub requests: usize,
     pub input_other: u64,
     pub output: u64,
@@ -175,6 +178,9 @@ pub struct RecentRow {
     pub cost_estimated: bool,
     pub price_id: String,
     pub from_env: bool,
+    /// True when the record is a subagent request bound to the configured
+    /// secondary model (Kimi Code `__secondary__` marker).
+    pub is_secondary: bool,
 }
 
 #[derive(Debug, Serialize, Deserialize, Clone)]
@@ -330,6 +336,9 @@ pub struct UsageRecord {
     pub model_display: String,
     pub provider: Option<String>,
     pub from_env: bool,
+    /// True when the record is a subagent request bound to the configured
+    /// secondary model (Kimi Code `__secondary__` marker).
+    pub is_secondary: bool,
 }
 
 // ---------------------------------------------------------------------------
@@ -400,6 +409,26 @@ fn build_alias_provider_map(home: &Path) -> HashMap<String, String> {
     map
 }
 
+/// Read `[secondary_model] model` from the Kimi Code config.toml — the alias
+/// subagents bind to when the experimental secondary-model feature is on.
+/// Kimi Code emits usage records with the internal marker `__secondary__` for
+/// those requests; the marker is resolved to this alias so prices and display
+/// line up with the actual model.
+fn read_secondary_model_alias(home: &Path) -> Option<String> {
+    let path = home.join("config.toml");
+    if !path.is_file() {
+        return None;
+    }
+    let content = std::fs::read_to_string(&path).ok()?;
+    let parsed: toml::Value = toml::from_str(&content).ok()?;
+    parsed
+        .get("secondary_model")
+        .and_then(|s| s.get("model"))
+        .and_then(|m| m.as_str())
+        .map(|s| s.to_string())
+        .filter(|s| !s.is_empty())
+}
+
 /// Resolve the provider for a usage record's raw model key: prefer the `provider/`
 /// prefix, then fall back to the legacy alias→provider map (config + backups).
 fn resolve_provider(model_raw: &str, map: &HashMap<String, String>) -> Option<String> {
@@ -726,6 +755,15 @@ fn match_price_inner(model_name: &str) -> (String, f64, f64, f64, bool) {
             return (id, c.cache_read, c.input, c.output, false);
         }
     }
+    // 1c) still no exact match: fall back to a cross-provider bare-name
+    // suffix lookup in the models.dev snapshot. Custom-gateway aliases (e.g.
+    // "CodingPlan.site/deepseek-v4-flash", not catalogued in models.dev)
+    // then price against the official listing of the same model id.
+    if let Some((id, c)) = priced_suffix_lookup(model_name) {
+        if c.input > 0.0 || c.output > 0.0 {
+            return (id, c.cache_read, c.input, c.output, false);
+        }
+    }
     // 2) legacy Kimi table (kept as a fallback for names not in models.dev).
     let bare_l = bare.to_ascii_lowercase();
     for p in &list_prices() {
@@ -758,9 +796,30 @@ fn cost_for_usage(input_other: u64, output: u64, cache_read: u64, cache_create:
 // Scanner
 // ---------------------------------------------------------------------------
 
+/// Settings key caching the last configured secondary-model alias. Historical
+/// `__secondary__` usage records carry no model identity, so billing follows
+/// the currently configured secondary model; this cache keeps a stable basis
+/// even after the secondary config is removed or changed.
+const SECONDARY_MODEL_CACHE_KEY: &str = "dashboard.secondary_model_cache";
+
 fn scan_usage(home: &Path) -> (Vec<UsageRecord>, ScanMeta) {
     let root = sessions_root(home);
     let alias2prov = build_alias_provider_map(home);
+    // Resolve the `__secondary__` marker (subagent requests bound to the
+    // configured secondary model) to the real model alias once per scan.
+    // Prefer the current config; fall back to the persisted cache so records
+    // keep a stable billing basis after the secondary config is removed or
+    // changed. When the config still declares a secondary model, refresh the
+    // cache with it.
+    let current_secondary = read_secondary_model_alias(home);
+    let cached_secondary = crate::db::get_setting_pub(SECONDARY_MODEL_CACHE_KEY)
+        .ok()
+        .flatten()
+        .filter(|s| !s.is_empty());
+    let secondary_alias = current_secondary.clone().or(cached_secondary);
+    if let Some(alias) = &current_secondary {
+        let _ = crate::db::set_setting_pub(SECONDARY_MODEL_CACHE_KEY, alias);
+    }
     let mut records = Vec::new();
     let mut files_scanned = 0;
     let mut lines_seen = 0;
@@ -800,6 +859,21 @@ fn scan_usage(home: &Path) -> (Vec<UsageRecord>, ScanMeta) {
             if scope != "turn" { continue; }
 
             let model_raw = obj.get("model").and_then(|v| v.as_str()).unwrap_or("unknown").to_string();
+            // Kimi Code writes the internal marker `__secondary__` as the model
+            // key for usage records emitted by subagents bound to the
+            // configured secondary model. The record stays keyed on that
+            // stable marker so historical records keep their semantics if the
+            // secondary config changes later; cost billing follows the
+            // currently configured secondary model, and the record is flagged
+            // is_secondary so the UI shows it as its own "subagent model"
+            // entry.
+            let is_secondary = model_raw == "__secondary__";
+            let from_env = model_raw == "__kimi_env_model__";
+            let price_model = if is_secondary {
+                secondary_alias.clone().unwrap_or_else(|| model_raw.clone())
+            } else {
+                model_raw.clone()
+            };
             let time = obj.get("time").and_then(|v| v.as_u64()).unwrap_or(0);
             let usage = &obj["usage"];
             let input_other = usage.get("inputOther").and_then(|v| v.as_u64()).unwrap_or(0);
@@ -809,16 +883,22 @@ fn scan_usage(home: &Path) -> (Vec<UsageRecord>, ScanMeta) {
 
             // Resolve model display
             let bare = model_raw.rsplit_once('/').map(|x| x.1).unwrap_or(&model_raw);
-            let (cost, est) = cost_for_usage(input_other, output, cache_read, cache_create, &model_raw);
-            let (pid, _ch, _ip, _op, _) = match_price(&model_raw);
+            let (cost, est) = cost_for_usage(input_other, output, cache_read, cache_create, &price_model);
+            // Subagent records are inherently estimates: the `__secondary__`
+            // marker carries no model identity, so the cost is flagged as
+            // estimated even when the current secondary config resolves to a
+            // priced listing.
+            let est = est || is_secondary;
+            let (pid, _ch, _ip, _op, _) = match_price(&price_model);
 
             records.push(UsageRecord {
                 time,
                 model: model_raw.clone(),
                 model_resolved: bare.to_string(),
                 model_display: model_raw.clone(),
-                provider: resolve_provider(&model_raw, &alias2prov),
-                from_env: model_raw == "__kimi_env_model__",
+                provider: resolve_provider(&price_model, &alias2prov),
+                from_env,
+                is_secondary,
                 input_other,
                 output,
                 input_cache_read: cache_read,
@@ -925,6 +1005,7 @@ fn aggregate(records: &[UsageRecord], range: &str, now_ms: u64) -> RangeStats {
                 model_resolved: r.model_resolved.clone(),
                 price_id: r.price_id.clone(),
                 cost_estimated: r.cost_estimated,
+                is_secondary: r.is_secondary,
                 requests: 0, input_other: 0, output: 0,
                 input_cache_read: 0, input_cache_creation: 0,
                 cost_usd: 0.0, total_tokens: 0, cache_hit_rate: 0.0,
@@ -933,6 +1014,7 @@ fn aggregate(records: &[UsageRecord], range: &str, now_ms: u64) -> RangeStats {
         });
         entry.1.add(r);
         entry.0.cost_estimated = entry.0.cost_estimated || r.cost_estimated;
+        entry.0.is_secondary = entry.0.is_secondary || r.is_secondary;
     }
 
     let total_input = totals.input_other + totals.input_cache_read + totals.input_cache_creation;
@@ -979,6 +1061,7 @@ fn aggregate(records: &[UsageRecord], range: &str, now_ms: u64) -> RangeStats {
         total_tokens: r.input_other + r.output + r.input_cache_read + r.input_cache_creation,
         cost_usd: r.cost_usd, cost_estimated: r.cost_estimated,
         price_id: r.price_id.clone(), from_env: r.from_env,
+        is_secondary: r.is_secondary,
     }).collect();
 
     RangeStats {
@@ -1760,6 +1843,19 @@ mod pricing_tests {
         assert!(est, "unknown models must be flagged as estimated");
     }
 
+    #[test]
+    fn custom_gateway_alias_bills_at_official_listing() {
+        // Custom-gateway aliases not catalogued in models.dev (e.g. the user's
+        // aggregated gateway "CodingPlan.site/deepseek-v4-flash") must resolve
+        // via the cross-provider bare-name lookup to a priced official entry
+        // instead of falling into the last-resort estimate.
+        let (id, _, input, output, est) = match_price("CodingPlan.site/deepseek-v4-flash");
+        assert!(!est, "resolved via models.dev, not estimated");
+        assert_eq!(id, "deepseek/deepseek-v4-flash");
+        assert_eq!(input, 0.14);
+        assert_eq!(output, 0.28);
+    }
+
     #[test]
     fn ambiguous_ids_prefer_official_provider() {
         // glm-4.6 ships under resellers too (e.g. 302ai); the official zhipuai
diff --git a/src-tauri/src/kimi_code_io.rs b/src-tauri/src/kimi_code_io.rs
index 097fccb..7794ec5 100644
--- a/src-tauri/src/kimi_code_io.rs
+++ b/src-tauri/src/kimi_code_io.rs
@@ -343,6 +343,39 @@ pub fn config_to_kimi_code(config: &Config, existing: Option<&TomlValue>) -> Tom
     }
     root.insert("models".to_string(), TomlValue::Table(models_table));
 
+    // Sync UI-managed top-level sections (thinking, experimental,
+    // secondary_model, ...) from config.raw_other back into the root.
+    // At import time every top-level key except default_model/providers/
+    // models was collected into raw_other, so raw_other is the authoritative
+    // snapshot of those sections. This both persists UI edits to those
+    // sections and drops sections the user explicitly removed (absent from
+    // raw_other but still present in `existing`).
+    let mut managed_keys = std::collections::HashSet::new();
+    if let TomlValue::Table(extra) =
+        json_to_toml(&config.raw_other).unwrap_or(TomlValue::Table(Table::new()))
+    {
+        for (k, v) in extra {
+            if k == "default_model" || k == "providers" || k == "models" {
+                continue;
+            }
+            managed_keys.insert(k.clone());
+            root.insert(k, v);
+        }
+    }
+    let stale_keys: Vec<String> = root
+        .keys()
+        .filter(|k| {
+            *k != "default_model"
+                && *k != "providers"
+                && *k != "models"
+                && !managed_keys.contains(*k)
+        })
+        .cloned()
+        .collect();
+    for k in stale_keys {
+        root.remove(&k);
+    }
+
     TomlValue::Table(root)
 }
 
@@ -552,6 +585,76 @@ api_key = ""
         assert!(caps.iter().any(|v| v.as_str() == Some("thinking")));
     }
 
+    #[test]
+    fn kimi_code_export_syncs_raw_other_top_level_sections() {
+        // Regression: UI-managed top-level sections ([thinking],
+        // [experimental], [secondary_model], ...) collected into raw_other at
+        // import time must be written back on export; sections removed from
+        // raw_other must be dropped from the output.
+        let toml_str = r#"
+default_model = "glm-5.2"
+default_thinking = true
+
+[providers."glmzhongzhuan"]
+type = "anthropic"
+api_key = "sk-test"
+
+[models."glm-5.2"]
+provider = "glmzhongzhuan"
+model = "glm-5.2"
+max_context_size = 900000
+
+[thinking]
+enabled = true
+
+[experimental]
+secondary-model = true
+
+[secondary_model]
+model = "glm-5.2"
+default_effort = "low"
+"#;
+        let value: TomlValue = toml_str.parse().unwrap();
+        let mut config = kimi_code_to_config(&value);
+
+        // raw_other collected the unknown top-level sections
+        let raw = config.raw_other.as_object().unwrap();
+        assert!(raw.contains_key("thinking"));
+        assert!(raw.contains_key("experimental"));
+        assert!(raw.contains_key("secondary_model"));
+
+        // UI edit: flip the experimental flag off and drop secondary_model
+        let mut raw = config.raw_other.as_object().unwrap().clone();
+        raw.insert(
+            "experimental".to_string(),
+            serde_json::json!({"secondary-model": false}),
+        );
+        raw.remove("secondary_model");
+        config.raw_other = serde_json::Value::Object(raw);
+
+        let exported = config_to_kimi_code(&config, Some(&value));
+        let root = exported.as_table().unwrap();
+
+        // Updated section is written back
+        let exp = root.get("experimental").unwrap().as_table().unwrap();
+        assert_eq!(
+            exp.get("secondary-model").and_then(|v| v.as_bool()),
+            Some(false)
+        );
+        // Removed section is dropped
+        assert!(root.get("secondary_model").is_none());
+        // Untouched sections are preserved
+        let thinking = root.get("thinking").unwrap().as_table().unwrap();
+        assert_eq!(
+            thinking.get("enabled").and_then(|v| v.as_bool()),
+            Some(true)
+        );
+        assert_eq!(
+            root.get("default_thinking").and_then(|v| v.as_bool()),
+            Some(true)
+        );
+    }
+
     #[test]
     fn kimi_code_export_does_not_inject_thinking_from_supports_1m() {
         let mut providers = IndexMap::new();
diff --git a/src-tauri/src/lib.rs b/src-tauri/src/lib.rs
index 668ae70..ab45d05 100644
--- a/src-tauri/src/lib.rs
+++ b/src-tauri/src/lib.rs
@@ -111,6 +111,7 @@ pub fn run() {
             commands::open_external_url,
             commands::kimi_oauth_start,
             commands::kimi_oauth_poll,
+            commands::get_experimental_env_status,
             dashboard::get_paths,
             dashboard::get_prices,
             dashboard::get_summary,
diff --git a/src-tauri/tauri.conf.json b/src-tauri/tauri.conf.json
index df45da8..1a140b4 100644
--- a/src-tauri/tauri.conf.json
+++ b/src-tauri/tauri.conf.json
@@ -1,6 +1,6 @@
 {
   "productName": "Kimi Switch",
-  "version": "0.7.0",
+  "version": "0.7.1",
   "identifier": "com.kimiswitch.app",
   "build": {
     "beforeDevCommand": "npm run dev",
diff --git a/src/App.tsx b/src/App.tsx
index a0c29c4..09bb314 100644
--- a/src/App.tsx
+++ b/src/App.tsx
@@ -5,6 +5,7 @@ import { useConfig } from "./hooks/useConfig";
 import { useUpdateCheck } from "./hooks/useUpdateCheck";
 import { ProviderList } from "./components/ProviderList";
 import { ProviderEdit } from "./components/ProviderEdit";
+import { SubagentSettingsPage } from "./components/SubagentSettingsPage";
 import { DashboardPage } from "./components/dashboard/DashboardPage";
 import { SessionsPage } from "./components/sessions/SessionsPage";
 import { SettingsModal } from "./components/SettingsModal";
@@ -70,7 +71,7 @@ export default function App() {
     updateConfig,
   } = useConfig(agent);
 
-  const [view, setView] = useState<"list" | "edit" | "dashboard" | "sessions">("list");
+  const [view, setView] = useState<"list" | "edit" | "subagent" | "dashboard" | "sessions">("list");
   const [editingProvider, setEditingProvider] = useState<string>("");
   const [loadTimeout, setLoadTimeout] = useState(false);
   const [switchMessage, setSwitchMessage] = useState<string | null>(null);
@@ -573,7 +574,7 @@ export default function App() {
             type="button"
             onClick={() => setView("list")}
             className={`px-3 py-1 text-sm rounded transition-colors ${
-              view === "list" || view === "edit"
+              view === "list" || view === "edit" || view === "subagent"
                 ? "bg-blue-600 text-white"
                 : "text-content-muted hover:text-content-primary"
             }`}
@@ -649,6 +650,15 @@ export default function App() {
           <DashboardPage />
         ) : view === "sessions" ? (
           <SessionsPage />
+        ) : view === "subagent" ? (
+          <SubagentSettingsPage
+            rawOther={config.raw_other}
+            models={config.models}
+            onChange={(nextRawOther) =>
+              updateConfig((cfg) => ({ ...cfg, raw_other: nextRawOther }))
+            }
+            onBack={() => setView("list")}
+          />
         ) : view === "list" ? (
           <ProviderList
             providers={providers}
@@ -813,6 +823,15 @@ export default function App() {
           >
             {t("openConfigDir")}
           </button>
+          {view === "list" && (
+            <button
+              type="button"
+              onClick={() => setView("subagent")}
+              className="px-3 py-1.5 text-sm border border-border rounded hover:bg-hover-2 focus:ring-2 focus:ring-blue-500 focus:outline-none"
+            >
+              {t("subagentSettings")}
+            </button>
+          )}
         </div>
       </footer>
       )}
diff --git a/src/components/AgentSettingsPanel.tsx b/src/components/AgentSettingsPanel.tsx
index 26acd57..c93247d 100644
--- a/src/components/AgentSettingsPanel.tsx
+++ b/src/components/AgentSettingsPanel.tsx
@@ -1,8 +1,8 @@
-import type { ReactNode } from "react";
 import { useTranslation } from "../i18n";
 import type { TranslationKey } from "../i18n/zh";
 import { getAgentSettings, setAgentSettings } from "../lib/agent-settings";
 import type { AgentSettings, Hook, PermissionRule } from "../types";
+import { Card, Checkbox, NumberField, Segmented } from "./ui/controls";
 
 interface AgentSettingsPanelProps {
   rawOther: unknown;
@@ -275,102 +275,3 @@ export function AgentSettingsPanel({ rawOther, onChange }: AgentSettingsPanelPro
     </div>
   );
 }
-
-function Card({ title, children }: { title: string; children: ReactNode }) {
-  return (
-    <div className="bg-panel border border-border rounded-xl p-4 space-y-3">
-      <h4 className="text-content-muted text-sm font-medium">{title}</h4>
-      {children}
-    </div>
-  );
-}
-
-function Checkbox({
-  label,
-  checked,
-  disabled,
-  onChange,
-}: {
-  label: string;
-  checked: boolean;
-  disabled?: boolean;
-  onChange: (checked: boolean) => void;
-}) {
-  return (
-    <label
-      className={`flex items-center gap-2 text-sm ${
-        disabled ? "text-content-muted" : "text-content-primary"
-      }`}
-    >
-      <input
-        type="checkbox"
-        checked={checked}
-        disabled={disabled}
-        onChange={(e) => onChange(e.target.checked)}
-        className="rounded border-border bg-input text-blue-600 focus:ring-blue-500"
-      />
-      {label}
-    </label>
-  );
-}
-
-function NumberField({
-  label,
-  value,
-  onChange,
-}: {
-  label: string;
-  value?: number;
-  onChange: (value: number | undefined) => void;
-}) {
-  return (
-    <label className="flex items-center gap-3 text-sm text-content-primary">
-      <span className="text-content-muted">{label}</span>
-      <input
-        type="number"
-        value={value ?? ""}
-        onChange={(e) => {
-          const raw = e.target.value;
-          onChange(raw === "" ? undefined : Number(raw));
-        }}
-        className="w-32 bg-input border border-border rounded px-2 py-1 text-sm focus:ring-2 focus:ring-blue-500 focus:outline-none"
-      />
-    </label>
-  );
-}
-
-function Segmented({
-  options,
-  value,
-  onChange,
-  disabled,
-}: {
-  options: { key: string; label: string }[];
-  value: string;
-  onChange: (value: string) => void;
-  disabled?: boolean;
-}) {
-  return (
-    <div
-      className={`flex items-center rounded overflow-hidden border border-border ${
-        disabled ? "opacity-50" : ""
-      }`}
-    >
-      {options.map((opt) => (
-        <button
-          key={opt.key}
-          type="button"
-          disabled={disabled}
-          onClick={() => onChange(opt.key)}
-          className={`px-3 py-1 text-sm ${
-            value === opt.key
-              ? "bg-blue-600 text-white"
-              : "bg-input text-content-muted hover:bg-hover-2"
-          }`}
-        >
-          {opt.label}
-        </button>
-      ))}
-    </div>
-  );
-}
diff --git a/src/components/SubagentSettingsPage.tsx b/src/components/SubagentSettingsPage.tsx
new file mode 100644
index 0000000..0596a5c
--- /dev/null
+++ b/src/components/SubagentSettingsPage.tsx
@@ -0,0 +1,239 @@
+import { useEffect, useState } from "react";
+import { invoke } from "@tauri-apps/api/core";
+import { useTranslation } from "../i18n";
+import type { TranslationKey } from "../i18n/zh";
+import type { ExperimentalEnvStatus, Model } from "../types";
+import {
+  EXPERIMENTAL_FLAGS,
+  clearSecondaryModel,
+  forcedEnvValue,
+  getExperimentalFlags,
+  getSecondaryModel,
+  isFlagLockedByEnv,
+  isMasterEnvOn,
+  setExperimentalFlag,
+  setSecondaryModelOnly,
+  type ExperimentalFlagDef,
+} from "../lib/subagent-settings";
+import { Card, Checkbox } from "./ui/controls";
+
+interface SubagentSettingsPageProps {
+  /** config.raw_other — hosts the `[experimental]` and `[secondary_model]` sections. */
+  rawOther: unknown;
+  /** All configured models (alias → entry) for the secondary-model picker. */
+  models: Record<string, Model>;
+  onChange: (nextRawOther: unknown) => void;
+  onBack: () => void;
+}
+
+const EFFORTS = ["low", "medium", "high", "max"] as const;
+const EFFORT_LABELS: Record<(typeof EFFORTS)[number], TranslationKey> = {
+  low: "thinkingLow",
+  medium: "thinkingMedium",
+  high: "thinkingHigh",
+  max: "thinkingMax",
+};
+
+const FLAG_LABELS: Record<string, { name: TranslationKey; desc: TranslationKey }> = {
+  "secondary-model": { name: "flagSecondaryModel", desc: "flagSecondaryModelDesc" },
+  "tool-select": { name: "flagToolSelect", desc: "flagToolSelectDesc" },
+  "acp-v2": { name: "flagAcpV2", desc: "flagAcpV2Desc" },
+  persistence_minidb_readmodel: {
+    name: "flagMinidbReadmodel",
+    desc: "flagMinidbReadmodelDesc",
+  },
+};
+
+export function SubagentSettingsPage({
+  rawOther,
+  models,
+  onChange,
+  onBack,
+}: SubagentSettingsPageProps) {
+  const { t } = useTranslation();
+  const [env, setEnv] = useState<ExperimentalEnvStatus | null>(null);
+
+  useEffect(() => {
+    invoke<ExperimentalEnvStatus>("get_experimental_env_status")
+      .then(setEnv)
+      .catch(() => setEnv({}));
+  }, []);
+
+  const flags = getExperimentalFlags(rawOther);
+  const secondary = getSecondaryModel(rawOther);
+  const masterOn = isMasterEnvOn(env);
+  const secondaryFlag = EXPERIMENTAL_FLAGS[0]; // "secondary-model"
+  const otherFlags = EXPERIMENTAL_FLAGS.slice(1);
+
+  /** Effective state of the secondary-model flag (env overrides config). */
+  const secondaryEnabled = masterOn
+    ? true
+    : isFlagLockedByEnv(env, secondaryFlag)
+      ? forcedEnvValue(env, secondaryFlag)
+      : flags["secondary-model"] === true;
+
+  const aliasList = Object.keys(models).sort();
+
+  // Inherited settings shown for the picked model: subagents bind the pointed
+  // entry directly (no patch fields), so context size and effort come from the
+  // model entry / global [thinking], not from a `[secondary_model]` patch.
+  const selectedEntry = secondary.model ? models[secondary.model] : undefined;
+  const inheritedContext = selectedEntry?.max_context_size;
+  const modelEffort =
+    selectedEntry &&
+    typeof (selectedEntry.raw_other as Record<string, unknown> | undefined)
+      ?.default_effort === "string"
+      ? ((selectedEntry.raw_other as Record<string, unknown>).default_effort as string)
+      : undefined;
+  const thinkingEffort = (() => {
+    const ro = rawOther as Record<string, unknown> | undefined;
+    const thinking = ro?.thinking as Record<string, unknown> | undefined;
+    return thinking && typeof thinking.effort === "string" && thinking.effort
+      ? thinking.effort
+      : undefined;
+  })();
+  const inheritedEffort = modelEffort ?? thinkingEffort;
+
+  const fmtContext = (n: number): string =>
+    n >= 1_000_000
+      ? `${(n / 1_000_000).toFixed(1)}M`
+      : n >= 1000
+        ? `${Math.round(n / 1000)}K`
+        : String(n);
+  const effortLabel = (e: string): string => {
+    const key = EFFORT_LABELS[e as (typeof EFFORTS)[number]];
+    return key ? t(key) : e;
+  };
+
+  const renderFlagRow = (flag: ExperimentalFlagDef) => {
+    const labels = FLAG_LABELS[flag.id];
+    const locked = masterOn || isFlagLockedByEnv(env, flag);
+    const on = masterOn
+      ? true
+      : isFlagLockedByEnv(env, flag)
+        ? forcedEnvValue(env, flag)
+        : flags[flag.id] === true;
+    return (
+      <div key={flag.id} className="flex items-center gap-3">
+        <div className="flex-1 min-w-0">
+          <div className="text-sm text-content-primary">{t(labels.name)}</div>
+          <div className="text-xs text-content-muted">
+            {t(labels.desc)}
+            <code className="ml-2">{flag.envVar}</code>
+          </div>
+        </div>
+        {locked && (
+          <span className="text-xs text-content-muted shrink-0">
+            🔒 {t("lockedByEnv")}
+          </span>
+        )}
+        <Checkbox
+          label=""
+          checked={on}
+          disabled={locked}
+          onChange={(checked) =>
+            onChange(setExperimentalFlag(rawOther, flag.id, checked))
+          }
+        />
+      </div>
+    );
+  };
+
+  return (
+    <div className="h-full flex flex-col bg-app">
+      {/* Header */}
+      <div className="flex items-center gap-3 px-4 py-3 border-b border-border bg-panel">
+        <button
+          type="button"
+          onClick={onBack}
+          className="p-2 rounded-lg hover:bg-hover-2 focus:ring-2 focus:ring-blue-500 focus:outline-none"
+        >
+          ← {t("back")}
+        </button>
+        <h2 className="font-semibold text-lg">{t("subagentSettings")}</h2>
+      </div>
+
+      <div className="flex-1 overflow-auto p-6 space-y-4">
+        {masterOn && (
+          <div className="bg-green-100 dark:bg-green-900/20 border border-green-300 dark:border-green-500/30 rounded-lg px-4 py-2 text-sm text-green-700 dark:text-green-400">
+            {t("masterEnvOnHint")}
+          </div>
+        )}
+
+        {/* Subagent: experimental flag + secondary model in one card */}
+        <Card title={t("secondaryModelSection")}>
+          {renderFlagRow(secondaryFlag)}
+          <div className="border-t border-border" />
+
+          {!secondaryEnabled && (
+            <div className="bg-amber-100 dark:bg-amber-900/20 border border-amber-300 dark:border-amber-500/30 rounded-lg px-3 py-2 text-sm text-amber-800 dark:text-amber-400">
+              {t("secondaryModelDisabledHint")}
+            </div>
+          )}
+
+          <label className="flex items-center gap-3 text-sm text-content-primary">
+            <span className="text-content-muted">{t("secondaryModelLabel")}</span>
+            <select
+              className="flex-1 max-w-md bg-input border border-border rounded px-2 py-1 text-sm focus:ring-2 focus:ring-blue-500 focus:outline-none"
+              value={secondary.model ?? ""}
+              onChange={(e) => {
+                const alias = e.target.value;
+                if (alias === "") {
+                  onChange(clearSecondaryModel(rawOther));
+                } else {
+                  // Only the model reference is persisted — no patch fields.
+                  // Subagents bind the pointed entry directly and inherit its
+                  // settings; usage records stay keyed on the real alias
+                  // instead of Kimi Code's synthesized `__secondary__` entry.
+                  onChange(setSecondaryModelOnly(rawOther, alias));
+                }
+              }}
+            >
+              <option value="">{t("secondaryModelUnset")}</option>
+              {aliasList.map((alias) => (
+                <option key={alias} value={alias}>
+                  {models[alias]?.display_name
+                    ? `${alias}（${models[alias].display_name}）`
+                    : alias}
+                </option>
+              ))}
+            </select>
+          </label>
+
+          {secondary.model !== undefined && (
+            <div className="rounded-lg border border-border bg-input/40 px-3 py-2 space-y-1.5">
+              <div className="flex items-center gap-3 text-sm">
+                <span className="text-content-muted w-24 shrink-0">
+                  {t("secondaryModelInheritedContext")}
+                </span>
+                <span className="text-content-primary">
+                  {inheritedContext ? fmtContext(inheritedContext) : "—"}
+                </span>
+              </div>
+              <div className="flex items-center gap-3 text-sm">
+                <span className="text-content-muted w-24 shrink-0">
+                  {t("secondaryModelInheritedEffort")}
+                </span>
+                <span className="text-content-primary">
+                  {inheritedEffort ? effortLabel(inheritedEffort) : "—"}
+                </span>
+              </div>
+              <p className="text-xs text-content-muted">
+                {t("secondaryModelInheritedHint")}
+              </p>
+            </div>
+          )}
+
+          <p className="text-xs text-content-muted">{t("secondaryModelHint")}</p>
+          <p className="text-xs text-content-muted">{t("secondaryModelPriorityHint")}</p>
+        </Card>
+
+        {/* Other experimental features (not subagent-related) */}
+        <Card title={t("otherExperimentalFlags")}>
+          {otherFlags.map(renderFlagRow)}
+          <p className="text-xs text-content-muted">{t("experimentalFlagsHint")}</p>
+        </Card>
+      </div>
+    </div>
+  );
+}
diff --git a/src/components/dashboard/DailyBars.tsx b/src/components/dashboard/DailyBars.tsx
index de3cc0d..8dfa442 100644
--- a/src/components/dashboard/DailyBars.tsx
+++ b/src/components/dashboard/DailyBars.tsx
@@ -59,6 +59,10 @@ export function DailyBars({ daily, dimension, names, unknownProviderLabel }: Dai
     if (dimension === "provider") {
       return key === "unknown" ? unknownProviderLabel : key;
     }
+    // Subagent records (Kimi Code `__secondary__` marker) show their own label.
+    if (key === "__secondary__") {
+      return t("subagentModel");
+    }
     return shortModel(key);
   };
 
diff --git a/src/components/dashboard/DailyDetailModal.tsx b/src/components/dashboard/DailyDetailModal.tsx
index 517e0f7..d78f2ac 100644
--- a/src/components/dashboard/DailyDetailModal.tsx
+++ b/src/components/dashboard/DailyDetailModal.tsx
@@ -25,6 +25,10 @@ export function DailyDetailModal({ day, dimension, colorMap, unknownProviderLabe
   const { t } = useTranslation();
   const { money } = useCurrency();
 
+  /** Subagent records (Kimi Code `__secondary__` marker) show their own label. */
+  const modelName = (model: string) =>
+    model === "__secondary__" ? t("subagentModel") : shortModel(model);
+
   useEffect(() => {
     const onKey = (e: KeyboardEvent) => {
       if (e.key === "Escape") onClose();
@@ -143,7 +147,7 @@ export function DailyDetailModal({ day, dimension, colorMap, unknownProviderLabe
                       <div className="mt-1 ml-5 space-y-0.5">
                         {p.models.map((m) => (
                           <div key={m.model} className="flex items-baseline justify-between gap-2 text-xs">
-                            <span className="truncate text-content-muted" title={m.model}>{shortModel(m.model)}</span>
+                            <span className="truncate text-content-muted" title={m.model}>{modelName(m.model)}</span>
                             <span className="shrink-0 text-content-muted tabular-nums">{fmtTokens(m.tokens)}</span>
                           </div>
                         ))}
@@ -167,7 +171,7 @@ export function DailyDetailModal({ day, dimension, colorMap, unknownProviderLabe
                       <span className="inline-block h-2.5 w-2.5 rounded-sm shrink-0" style={{ backgroundColor: modelColor(i) }} />
                       <div className="min-w-0 flex-1">
                         <div className="flex items-baseline justify-between gap-2">
-                          <span className="truncate text-content-primary" title={s.model}>{shortModel(s.model)}</span>
+                          <span className="truncate text-content-primary" title={s.model}>{modelName(s.model)}</span>
                           <span className="shrink-0 text-xs text-content-muted tabular-nums">
                             {fmtTokens(s.tokens)} <span className="text-content-muted">· {s.pct.toFixed(1)}%</span>
                           </span>
diff --git a/src/components/dashboard/DashboardPage.tsx b/src/components/dashboard/DashboardPage.tsx
index 2bb629f..d42c15c 100644
--- a/src/components/dashboard/DashboardPage.tsx
+++ b/src/components/dashboard/DashboardPage.tsx
@@ -310,7 +310,9 @@ export function DashboardPage() {
                             }}
                           />
                           <div className="flex items-center gap-1.5 min-w-0">
-                            <span className="text-content-primary whitespace-nowrap truncate">{m.modelDisplay || m.model}</span>
+                            <span className="text-content-primary whitespace-nowrap truncate">
+                              {m.isSecondary ? t("subagentModel") : m.modelDisplay || m.model}
+                            </span>
                             {m.costEstimated && (
                               <span className="text-[10px] text-yellow-600 shrink-0">({t("estimate")})</span>
                             )}
@@ -371,7 +373,13 @@ export function DashboardPage() {
                       <td className="py-1.5 pr-4 text-content-muted whitespace-nowrap">
                         {fmtTime(r.time)}
                       </td>
-                      <td className="py-1.5 pr-4 text-content-primary">{r.modelDisplay || r.model}</td>
+                      <td className="py-1.5 pr-4 text-content-primary">
+                        <span className="flex items-center gap-1.5 min-w-0">
+                          <span className="truncate">
+                            {r.isSecondary ? t("subagentModel") : r.modelDisplay || r.model}
+                          </span>
+                        </span>
+                      </td>
                       <td className="py-1.5 pr-4 text-right text-content-muted">{fmtTokens(r.inputOther)}</td>
                       <td className="py-1.5 pr-4 text-right text-content-muted">{fmtTokens(r.output)}</td>
                       <td className="py-1.5 pr-4 text-right text-content-muted">{fmtTokens(r.inputCacheRead)}</td>
diff --git a/src/components/ui/controls.tsx b/src/components/ui/controls.tsx
new file mode 100644
index 0000000..c2f5850
--- /dev/null
+++ b/src/components/ui/controls.tsx
@@ -0,0 +1,104 @@
+import type { ReactNode } from "react";
+
+/** Shared small form controls used by settings panels (Agent settings,
+ *  Subagent settings, ...). Extracted from AgentSettingsPanel.tsx so new
+ *  panels can reuse the same look without duplicating code. */
+
+export function Card({ title, children }: { title: string; children: ReactNode }) {
+  return (
+    <div className="bg-panel border border-border rounded-xl p-4 space-y-3">
+      <h4 className="text-content-muted text-sm font-medium">{title}</h4>
+      {children}
+    </div>
+  );
+}
+
+export function Checkbox({
+  label,
+  checked,
+  disabled,
+  onChange,
+}: {
+  label: string;
+  checked: boolean;
+  disabled?: boolean;
+  onChange: (checked: boolean) => void;
+}) {
+  return (
+    <label
+      className={`flex items-center gap-2 text-sm ${
+        disabled ? "text-content-muted" : "text-content-primary"
+      }`}
+    >
+      <input
+        type="checkbox"
+        checked={checked}
+        disabled={disabled}
+        onChange={(e) => onChange(e.target.checked)}
+        className="rounded border-border bg-input text-blue-600 focus:ring-blue-500"
+      />
+      {label}
+    </label>
+  );
+}
+
+export function NumberField({
+  label,
+  value,
+  onChange,
+}: {
+  label: string;
+  value?: number;
+  onChange: (value: number | undefined) => void;
+}) {
+  return (
+    <label className="flex items-center gap-3 text-sm text-content-primary">
+      <span className="text-content-muted">{label}</span>
+      <input
+        type="number"
+        value={value ?? ""}
+        onChange={(e) => {
+          const raw = e.target.value;
+          onChange(raw === "" ? undefined : Number(raw));
+        }}
+        className="w-32 bg-input border border-border rounded px-2 py-1 text-sm focus:ring-2 focus:ring-blue-500 focus:outline-none"
+      />
+    </label>
+  );
+}
+
+export function Segmented({
+  options,
+  value,
+  onChange,
+  disabled,
+}: {
+  options: { key: string; label: string }[];
+  value: string;
+  onChange: (value: string) => void;
+  disabled?: boolean;
+}) {
+  return (
+    <div
+      className={`flex items-center rounded overflow-hidden border border-border ${
+        disabled ? "opacity-50" : ""
+      }`}
+    >
+      {options.map((opt) => (
+        <button
+          key={opt.key}
+          type="button"
+          disabled={disabled}
+          onClick={() => onChange(opt.key)}
+          className={`px-3 py-1 text-sm ${
+            value === opt.key
+              ? "bg-blue-600 text-white"
+              : "bg-input text-content-muted hover:bg-hover-2"
+          }`}
+        >
+          {opt.label}
+        </button>
+      ))}
+    </div>
+  );
+}
diff --git a/src/i18n/en.ts b/src/i18n/en.ts
index 6a5a301..387919d 100644
--- a/src/i18n/en.ts
+++ b/src/i18n/en.ts
@@ -320,6 +320,7 @@ export const enTranslations: Record<TranslationKey, string> = {
   colCacheRead: "Cache read",
   unitTimes: "requests",
   estimate: "est.",
+  subagentModel: "Subagent model",
   collapse: "Collapse",
   expandAll: "Expand all ({n})",
 
@@ -447,4 +448,34 @@ export const enTranslations: Record<TranslationKey, string> = {
   trendLineShowRequests: "Show requests",
   trendLineTooltip: "{date}\nTokens: {tokens}\nCache hit: {cache}\nRequests: {req}",
   trendLineNoData: "No data",
+
+  // Subagent settings page (experimental flags + secondary model)
+  subagentSettings: "Subagent Settings",
+  experimentalFlags: "Experimental Features",
+  otherExperimentalFlags: "Other Experimental Features",
+  experimentalFlagsHint:
+    "Toggles are written to the [experimental] section of config.toml; env vars take precedence and locked toggles cannot be changed here",
+  flagSecondaryModel: "Subagent Secondary Model",
+  flagSecondaryModelDesc: "Newly spawned subagents bind a second (usually cheaper) model config",
+  flagToolSelect: "Tool Select",
+  flagToolSelectDesc: "Enable the experimental tool selection feature",
+  flagAcpV2: "ACP v2 Protocol",
+  flagAcpV2Desc: "Enable Agent Communication Protocol v2",
+  flagMinidbReadmodel: "MiniDB Read Model",
+  flagMinidbReadmodelDesc: "Enable the v2 engine MiniDB read-model backend",
+  lockedByEnv: "Locked by env var",
+  masterEnvOnHint: "KIMI_CODE_EXPERIMENTAL_FLAG is set: all experimental features are forced on by the env var",
+  secondaryModelSection: "Subagent Model (Secondary Model)",
+  secondaryModelDisabledHint:
+    "The experimental flag \"Subagent Secondary Model\" is off and this config will not take effect — enable the toggle above first",
+  secondaryModelLabel: "Secondary model",
+  secondaryModelUnset: "Not configured",
+  secondaryModelInheritedContext: "Inherited context",
+  secondaryModelInheritedEffort: "Inherited effort",
+  secondaryModelInheritedHint:
+    "Subagents bind the selected model directly and inherit its context size and effort — no patch needed",
+  secondaryModelHint:
+    "Second model config bound to subagents by default; when unset, subagents inherit the primary model. Only the model reference is stored; subagents inherit all of that model's settings",
+  secondaryModelPriorityHint:
+    "Priority: explicit tool model param > profile model_preference > this config > inherit primary model",
 };
diff --git a/src/i18n/zh.ts b/src/i18n/zh.ts
index 75500fd..68bd7cd 100644
--- a/src/i18n/zh.ts
+++ b/src/i18n/zh.ts
@@ -315,6 +315,7 @@ export const zhTranslations = {
   colCacheRead: "缓存读",
   unitTimes: "次",
   estimate: "估算",
+  subagentModel: "子代理模型",
   collapse: "收起",
   expandAll: "展开全部 ({n})",
 
@@ -442,6 +443,36 @@ export const zhTranslations = {
   trendLineShowRequests: "显示请求数",
   trendLineTooltip: "{date}\nToken: {tokens}\n命中率: {cache}\n请求: {req}",
   trendLineNoData: "暂无数据",
+
+  // Subagent settings page (experimental flags + secondary model)
+  subagentSettings: "子代理设置",
+  experimentalFlags: "实验功能开关",
+  otherExperimentalFlags: "其他实验功能",
+  experimentalFlagsHint:
+    "开关写入 config.toml 的 [experimental] 节；环境变量优先级更高，被锁定的开关无法在此修改",
+  flagSecondaryModel: "子代理次主力模型",
+  flagSecondaryModelDesc: "子代理派发时绑定第二份（通常更便宜的）模型配置",
+  flagToolSelect: "工具选择",
+  flagToolSelectDesc: "启用实验性工具选择功能",
+  flagAcpV2: "ACP v2 协议",
+  flagAcpV2Desc: "启用 Agent Communication Protocol v2",
+  flagMinidbReadmodel: "MiniDB 读模型",
+  flagMinidbReadmodelDesc: "启用 v2 引擎 MiniDB 读模型后端",
+  lockedByEnv: "被环境变量锁定",
+  masterEnvOnHint: "KIMI_CODE_EXPERIMENTAL_FLAG 已设置：全部实验功能被环境变量强制开启",
+  secondaryModelSection: "子代理模型（次主力模型）",
+  secondaryModelDisabledHint:
+    "实验开关「子代理次主力模型」未启用，本配置不会生效——请先在上方打开对应开关",
+  secondaryModelLabel: "次主力模型",
+  secondaryModelUnset: "未配置",
+  secondaryModelInheritedContext: "继承上下文长度",
+  secondaryModelInheritedEffort: "继承思考模式",
+  secondaryModelInheritedHint:
+    "子代理直接绑定所选模型，继承其上下文长度与思考设置，无需单独配置补丁",
+  secondaryModelHint:
+    "子代理默认绑定的第二份模型配置；未配置时子代理继承主模型；仅保存模型引用，子代理继承该模型的全部设置",
+  secondaryModelPriorityHint:
+    "优先级：工具显式 model 参数 > 子代理 profile 的 model_preference > 本配置 > 继承主模型",
 } as const;
 
 export type TranslationKey = keyof typeof zhTranslations;
diff --git a/src/lib/models-dev-full.json b/src/lib/models-dev-full.json
index 35e3cef..78a99c6 100644
--- a/src/lib/models-dev-full.json
+++ b/src/lib/models-dev-full.json
@@ -1,5 +1,5 @@
 {
-  "last_updated": "2026-08-02",
+  "last_updated": "2026-08-05",
   "providers": {
     "zhipuai": {
       "id": "zhipuai",
@@ -537,6 +537,1142 @@
         }
       ]
     },
+    "impossibl": {
+      "id": "impossibl",
+      "name": "Impossibl",
+      "models": [
+        {
+          "id": "google/gemini-3.5-flash",
+          "name": "Gemini 3.5 Flash",
+          "cost": {
+            "input": 1.5,
+            "output": 9,
+            "cache_read": 0.15
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-2.5-flash",
+          "name": "Gemini 2.5 Flash",
+          "cost": {
+            "input": 0.3,
+            "output": 2.5,
+            "cache_read": 0.03
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-3.5-flash-lite",
+          "name": "Gemini 3.5 Flash Lite",
+          "cost": {
+            "input": 0.3,
+            "output": 2.5,
+            "cache_read": 0.03
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-3.6-flash",
+          "name": "Gemini 3.6 Flash",
+          "cost": {
+            "input": 1.5,
+            "output": 7.5,
+            "cache_read": 0.15
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-3.1-flash-lite",
+          "name": "Gemini 3.1 Flash Lite",
+          "cost": {
+            "input": 0.25,
+            "output": 1.5,
+            "cache_read": 0.025
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-3.1-pro-preview",
+          "name": "Gemini 3.1 Pro Preview",
+          "cost": {
+            "input": 2,
+            "output": 12,
+            "cache_read": 0.2
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-2.5-pro",
+          "name": "Gemini 2.5 Pro",
+          "cost": {
+            "input": 1.25,
+            "output": 10,
+            "cache_read": 0.125
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "google/gemini-2.5-flash-lite",
+          "name": "Gemini 2.5 Flash-Lite",
+          "cost": {
+            "input": 0.1,
+            "output": 0.4,
+            "cache_read": 0.01
+          },
+          "context": 1048576,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "thinkingmachines/inkling",
+          "name": "Inkling",
+          "cost": {
+            "input": 1.87,
+            "output": 4.68,
+            "cache_read": 0.374
+          },
+          "context": 65536,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "qwen/qwen3.7-plus",
+          "name": "Qwen3.7 Plus",
+          "cost": {
+            "input": 0.4,
+            "output": 1.6,
+            "cache_read": 0.08
+          },
+          "context": 1000000,
+          "output_limit": 64000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "qwen/qwen3.8-max-preview",
+          "name": "Qwen3.8 Max Preview",
+          "cost": {
+            "input": 2.5,
+            "output": 7.5
+          },
+          "context": 1000000,
+          "output_limit": 131072,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "qwen/qwen3.7-max",
+          "name": "Qwen3.7 Max",
+          "cost": {
+            "input": 2.5,
+            "output": 7.5,
+            "cache_read": 0.5
+          },
+          "context": 1000000,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true
+        },
+        {
+          "id": "qwen/qwen3.6-flash",
+          "name": "Qwen3.6 Flash",
+          "cost": {
+            "input": 0.25,
+            "output": 1.5,
+            "cache_read": 0.05
+          },
+          "context": 1000000,
+          "output_limit": 65536,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "xai/grok-4.3",
+          "name": "Grok 4.3",
+          "cost": {
+            "input": 1.25,
+            "output": 2.5,
+            "cache_read": 0.2
+          },
+          "context": 1000000,
+          "output_limit": 30000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "xai/grok-4.20-0309-non-reasoning",
+          "name": "Grok 4.20 (Non-Reasoning)",
+          "cost": {
+            "input": 1.25,
+            "output": 2.5,
+            "cache_read": 0.2
+          },
+          "context": 1000000,
+          "output_limit": 30000,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "xai/grok-4.5",
+          "name": "Grok 4.5",
+          "cost": {
+            "input": 2,
+            "output": 6,
+            "cache_read": 0.3
+          },
+          "context": 500000,
+          "output_limit": 500000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "xai/grok-build-0.1",
+          "name": "Grok Build 0.1",
+          "cost": {
+            "input": 1,
+            "output": 2,
+            "cache_read": 0.2
+          },
+          "context": 256000,
+          "output_limit": 256000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "xai/grok-4.20-0309-reasoning",
+          "name": "Grok 4.20 (Reasoning)",
+          "cost": {
+            "input": 1.25,
+            "output": 2.5,
+            "cache_read": 0.2
+          },
+          "context": 1000000,
+          "output_limit": 30000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "fireworks/gpt-oss-20b",
+          "name": "GPT OSS 20B",
+          "cost": {
+            "input": 0.07,
+            "output": 0.3,
+            "cache_read": 0.035
+          },
+          "context": 131072,
+          "output_limit": 32768,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "fireworks/glm-5.2",
+          "name": "GLM-5.2",
+          "cost": {
+            "input": 1.4,
+            "output": 4.4,
+            "cache_read": 0.14
+          },
+          "context": 1000000,
+          "output_limit": 131072,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "fireworks/gpt-oss-120b",
+          "name": "GPT OSS 120B",
+          "cost": {
+            "input": 0.15,
+            "output": 0.6,
+            "cache_read": 0.015
+          },
+          "context": 131072,
+          "output_limit": 32768,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "groq/gpt-oss-20b",
+          "name": "GPT OSS 20B",
+          "cost": {
+            "input": 0.075,
+            "output": 0.3,
+            "cache_read": 0.0375
+          },
+          "context": 131072,
+          "output_limit": 32768,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "groq/gpt-oss-120b",
+          "name": "GPT OSS 120B",
+          "cost": {
+            "input": 0.15,
+            "output": 0.6,
+            "cache_read": 0.075
+          },
+          "context": 131072,
+          "output_limit": 32768,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "deepseek/deepseek-v4-flash",
+          "name": "DeepSeek V4 Flash",
+          "cost": {
+            "input": 0.19,
+            "output": 0.51,
+            "cache_read": 0.028
+          },
+          "context": 1000000,
+          "output_limit": 384000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "deepseek/deepseek-v4-pro",
+          "name": "DeepSeek V4 Pro",
+          "cost": {
+            "input": 1.74,
+            "output": 3.48,
+            "cache_read": 0.145
+          },
+          "context": 1000000,
+          "output_limit": 384000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "xiaomi/mimo-v2.5",
+          "name": "MiMo-V2.5",
+          "cost": {
+            "input": 0.14,
+            "output": 0.28,
+            "cache_read": 0.003
+          },
+          "context": 1048576,
+          "output_limit": 131072,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "anthropic/claude-sonnet-4-6",
+          "name": "Claude Sonnet 4.6",
+          "cost": {
+            "input": 3,
+            "output": 15,
+            "cache_read": 0.3,
+            "cache_write": 3.75
+          },
+          "context": 1000000,
+          "output_limit": 64000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-haiku-4-5",
+          "name": "Claude Haiku 4.5 (latest)",
+          "cost": {
+            "input": 1,
+            "output": 5,
+            "cache_read": 0.1,
+            "cache_write": 1.25
+          },
+          "context": 200000,
+          "output_limit": 64000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-opus-4-6",
+          "name": "Claude Opus 4.6",
+          "cost": {
+            "input": 5,
+            "output": 25,
+            "cache_read": 0.5,
+            "cache_write": 6.25
+          },
+          "context": 1000000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-fable-5",
+          "name": "Claude Fable 5",
+          "cost": {
+            "input": 10,
+            "output": 50,
+            "cache_read": 1,
+            "cache_write": 12.5
+          },
+          "context": 1000000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-opus-4-8",
+          "name": "Claude Opus 4.8",
+          "cost": {
+            "input": 5,
+            "output": 25,
+            "cache_read": 0.5,
+            "cache_write": 6.25
+          },
+          "context": 1000000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-sonnet-4-5",
+          "name": "Claude Sonnet 4.5 (latest)",
+          "cost": {
+            "input": 3,
+            "output": 15,
+            "cache_read": 0.3,
+            "cache_write": 3.75
+          },
+          "context": 200000,
+          "output_limit": 64000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-opus-4-7",
+          "name": "Claude Opus 4.7",
+          "cost": {
+            "input": 5,
+            "output": 25,
+            "cache_read": 0.5,
+            "cache_write": 6.25
+          },
+          "context": 1000000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-opus-4-5",
+          "name": "Claude Opus 4.5 (latest)",
+          "cost": {
+            "input": 5,
+            "output": 25,
+            "cache_read": 0.5,
+            "cache_write": 6.25
+          },
+          "context": 200000,
+          "output_limit": 64000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "anthropic/claude-sonnet-5",
+          "name": "Claude Sonnet 5",
+          "cost": {
+            "input": 2,
+            "output": 10,
+            "cache_read": 0.2,
+            "cache_write": 2.5
+          },
+          "context": 1000000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "cerebras/gpt-oss-120b",
+          "name": "GPT OSS 120B",
+          "cost": {
+            "input": 0.35,
+            "output": 0.75
+          },
+          "context": 131072,
+          "output_limit": 32768,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "moonshotai/kimi-k3",
+          "name": "Kimi K3",
+          "cost": {
+            "input": 3,
+            "output": 15,
+            "cache_read": 0.3
+          },
+          "context": 1048576,
+          "output_limit": 131072,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "openai/gpt-5.1-codex-mini",
+          "name": "GPT-5.1 Codex mini",
+          "cost": {
+            "input": 0.25,
+            "output": 2,
+            "cache_read": 0.025
+          },
+          "context": 400000,
+          "input_limit": 272000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-5.5-pro",
+          "name": "GPT-5.5 Pro",
+          "cost": {
+            "input": 30,
+            "output": 180,
+            "cache_read": 3
+          },
+          "context": 1050000,
+          "input_limit": 922000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-4.1-mini",
+          "name": "GPT-4.1 mini",
+          "cost": {
+            "input": 0.4,
+            "output": 1.6,
+            "cache_read": 0.1
+          },
+          "context": 1047576,
+          "output_limit": 32768,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-4o",
+          "name": "GPT-4o",
+          "cost": {
+            "input": 2.5,
+            "output": 10,
+            "cache_read": 1.25
+          },
+          "context": 128000,
+          "output_limit": 16384,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-5.4-pro",
+          "name": "GPT-5.4 Pro",
+          "cost": {
+            "input": 30,
+            "output": 180,
+            "cache_read": 3
+          },
+          "context": 1050000,
+          "input_limit": 922000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-5.6-sol",
+          "name": "GPT-5.6 Sol",
+          "cost": {
+            "input": 5,
+            "output": 30,
+            "cache_read": 0.5,
+            "cache_write": 6.25
+          },
+          "context": 1050000,
+          "input_limit": 922000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-4.1-nano",
+          "name": "GPT-4.1 nano",
+          "cost": {
+            "input": 0.1,
+            "output": 0.4,
+            "cache_read": 0.025
+          },
+          "context": 1047576,
+          "output_limit": 32768,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/o3-mini",
+          "name": "o3-mini",
+          "cost": {
+            "input": 1.1,
+            "output": 4.4,
+            "cache_read": 0.55
+          },
+          "context": 200000,
+          "output_limit": 100000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "openai/gpt-5.5",
+          "name": "GPT-5.5",
+          "cost": {
+            "input": 5,
+            "output": 30,
+            "cache_read": 0.5
+          },
+          "context": 1050000,
+          "input_limit": 922000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-4o-mini",
+          "name": "GPT-4o mini",
+          "cost": {
+            "input": 0.15,
+            "output": 0.6,
+            "cache_read": 0.075
+          },
+          "context": 128000,
+          "output_limit": 16384,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-5",
+          "name": "GPT-5",
+          "cost": {
+            "input": 1.25,
+            "output": 10,
+            "cache_read": 0.125
+          },
+          "context": 400000,
+          "input_limit": 272000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "openai/gpt-5-codex",
+          "name": "GPT-5-Codex",
+          "cost": {
+            "input": 1.25,
+            "output": 10,
+            "cache_read": 0.125
+          },
+          "context": 400000,
+          "input_limit": 272000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
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     "blueclaw": {
       "id": "blueclaw",
       "name": "Blue Claw",
@@ -855,6 +1991,20 @@
           "structured_output": true,
           "image": true
         },
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           "name": "Qwen3.6 35B-A3B",
@@ -882,6 +2032,20 @@
           "tool_call": true,
           "image": true
         },
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@@ -895,6 +2059,20 @@
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         },
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+          "name": "GLM-5.2 Ponytail Ultra",
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         {
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           "name": "Qwen3-Coder 30B-A3B Instruct",
@@ -923,7 +2101,8 @@
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@@ -946,8 +2125,9 @@
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+            "input": 0.7524,
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@@ -977,6 +2157,34 @@
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         },
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+          "name": "GLM-5.2 Caveman Ultra",
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+        },
         {
           "id": "green-s-pro",
           "name": "Green S Pro",
@@ -1024,6 +2232,34 @@
           "structured_output": true,
           "image": true
         },
+        {
+          "id": "deepseek-v4-flash-0731",
+          "name": "DeepSeek V4 Flash 0731",
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+          "name": "GLM-5.2 Honey Ultra",
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+          "structured_output": true
+        },
         {
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           "name": "Qwen3 235B A22B Instruct 2507",
@@ -1036,6 +2272,20 @@
           "tool_call": true,
           "structured_output": true
         },
+        {
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+          "name": "GLM-5.2 Honey",
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+        },
         {
           "id": "voxtral-small-24b-2507",
           "name": "Voxtral Small 24B",
@@ -1065,8 +2315,9 @@
           "id": "minimax-m2.5",
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+            "input": 0.1938,
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@@ -1091,8 +2342,9 @@
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@@ -1138,6 +2390,21 @@
           "structured_output": true,
           "image": true
         },
+        {
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+          "name": "Kimi K3",
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+          "image": true
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           "name": "Qwen3.5 397B-A17B",
@@ -1151,6 +2418,34 @@
           "tool_call": true,
           "structured_output": true
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+          "name": "GLM-5.2 Honey Lite",
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+        },
         {
           "id": "green-r",
           "name": "Green R",
@@ -1171,19 +2466,6 @@
       "id": "wandb",
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@@ -1268,34 +2550,6 @@
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@@ -1367,20 +2621,6 @@
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@@ -1423,6 +2663,20 @@
           "tool_call": true,
           "structured_output": true
         },
+        {
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+          "name": "DeepSeek V4 Flash 0731",
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         {
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@@ -1492,21 +2746,6 @@
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           "name": "Kimi K2.7 Code",
@@ -1746,6 +2985,24 @@
           "image": true,
           "video": true
         },
+        {
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@@ -1759,6 +3016,7 @@
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@@ -1774,7 +3032,25 @@
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@@ -1806,6 +3082,7 @@
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@@ -1835,7 +3113,8 @@
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@@ -1929,6 +3209,7 @@
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@@ -2200,7 +3491,8 @@
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@@ -3053,6 +4345,23 @@
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@@ -4864,7 +6173,7 @@
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@@ -6563,7 +7872,8 @@
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@@ -7686,8 +8996,9 @@
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@@ -7700,25 +9011,44 @@
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@@ -7826,12 +9162,29 @@
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@@ -7846,37 +9199,13 @@
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@@ -7895,35 +9224,36 @@
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@@ -7935,21 +9265,22 @@
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@@ -7959,12 +9290,28 @@
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+        {
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+          "name": "Pokee-Isaac 28B",
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@@ -7976,7 +9323,8 @@
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@@ -7988,33 +9336,22 @@
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@@ -8024,23 +9361,13 @@
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@@ -8055,7 +9382,8 @@
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@@ -8066,7 +9394,8 @@
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@@ -8076,12 +9405,29 @@
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@@ -8105,18 +9451,32 @@
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+        {
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@@ -8126,50 +9486,52 @@
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@@ -8183,21 +9545,22 @@
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@@ -10443,6 +11704,17 @@
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@@ -10678,8 +11931,8 @@
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@@ -10698,12 +11952,31 @@
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@@ -10713,28 +11986,15 @@
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@@ -10806,37 +12071,55 @@
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@@ -10856,15 +12140,19 @@
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@@ -10881,26 +12169,26 @@
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@@ -10922,7 +12211,8 @@
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@@ -10958,7 +12250,8 @@
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@@ -11100,53 +12407,72 @@
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@@ -11157,7 +12483,8 @@
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@@ -11168,7 +12495,8 @@
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@@ -11181,7 +12509,8 @@
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@@ -11194,7 +12523,8 @@
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@@ -11205,7 +12535,8 @@
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@@ -11215,33 +12546,26 @@
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-          "name": "Nvidia Nemotron Nano 9B v2",
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@@ -11252,7 +12576,8 @@
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@@ -11264,7 +12589,8 @@
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@@ -11275,7 +12601,8 @@
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@@ -11286,8 +12613,9 @@
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@@ -11298,15 +12626,13 @@
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@@ -11339,12 +12666,31 @@
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@@ -12349,7 +13869,8 @@
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@@ -12376,14 +13898,18 @@
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@@ -12394,29 +13920,20 @@
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@@ -12427,7 +13944,8 @@
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@@ -12437,8 +13955,9 @@
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@@ -12483,8 +14004,9 @@
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@@ -12614,30 +14146,21 @@
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@@ -12670,19 +14195,60 @@
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@@ -12704,29 +14271,52 @@
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@@ -12737,7 +14327,8 @@
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@@ -12747,13 +14338,28 @@
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@@ -12834,51 +14440,45 @@
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@@ -12901,12 +14501,27 @@
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@@ -12914,35 +14529,13 @@
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@@ -12953,18 +14546,48 @@
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@@ -12979,7 +14602,8 @@
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@@ -12993,8 +14617,9 @@
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@@ -13139,7 +14778,8 @@
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@@ -13149,8 +14789,9 @@
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@@ -13368,12 +15018,58 @@
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@@ -13381,6 +15077,21 @@
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@@ -13411,8 +15123,9 @@
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@@ -13440,8 +15153,9 @@
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@@ -13451,8 +15165,9 @@
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@@ -13463,7 +15178,8 @@
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@@ -13474,7 +15190,8 @@
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@@ -13495,8 +15213,9 @@
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@@ -13521,13 +15240,13 @@
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@@ -13547,6 +15266,22 @@
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@@ -13568,7 +15303,8 @@
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@@ -13582,13 +15318,13 @@
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@@ -13599,7 +15335,8 @@
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@@ -13613,7 +15350,8 @@
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@@ -13626,9 +15364,12 @@
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@@ -13638,18 +15379,48 @@
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@@ -13659,8 +15430,9 @@
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@@ -13671,7 +15443,8 @@
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@@ -13681,8 +15454,9 @@
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@@ -15386,11 +17352,12 @@
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@@ -15492,7 +17466,8 @@
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@@ -16918,6 +18893,20 @@
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@@ -18045,9 +20034,9 @@
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@@ -18761,6 +20750,21 @@
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@@ -20959,7 +22963,7 @@
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@@ -21027,6 +23031,19 @@
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@@ -22645,23 +24662,6 @@
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@@ -22742,6 +24742,22 @@
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@@ -22778,10 +24794,9 @@
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@@ -22855,6 +24870,22 @@
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@@ -22888,23 +24919,6 @@
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@@ -22925,10 +24939,9 @@
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@@ -26186,6 +28199,147 @@
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@@ -26229,8 +28383,8 @@
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@@ -26250,6 +28404,21 @@
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@@ -33904,6 +36073,22 @@
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+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
         {
           "id": "muse-spark-1-1",
           "name": "Muse Spark 1.1",
@@ -33920,6 +36105,20 @@
           "image": true,
           "video": true
         },
+        {
+          "id": "deepseek-v4-flash-0731",
+          "name": "DeepSeek V4 Flash 0731",
+          "cost": {
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+            "output": 0.28,
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+          "output_limit": 393216,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
         {
           "id": "qwen3-7-plus",
           "name": "Qwen3.7 Plus",
@@ -34091,6 +36290,23 @@
           "tool_call": true,
           "structured_output": true
         },
+        {
+          "id": "qwen3-7-flash",
+          "name": "Qwen3.7 Flash",
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+            "output": 0.13,
+            "cache_read": 0.006
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+          "input_limit": 991000,
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+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
         {
           "id": "mistral-medium-3",
           "name": "Mistral Medium 3",
@@ -34354,6 +36570,38 @@
           },
           "image": true
         },
+        {
+          "id": "qwen3.8-max",
+          "name": "Qwen3.8 Max",
+          "cost": {
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+            "output": 0,
+            "cache_read": 0,
+            "cache_write": 0
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+          "context": 1000000,
+          "output_limit": 131072,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true,
+          "video": true
+        },
+        {
+          "id": "deepseek-v4-flash-0731",
+          "name": "DeepSeek V4 Flash 0731",
+          "cost": {
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+            "cache_read": 0,
+            "cache_write": 0
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+          "context": 1000000,
+          "output_limit": 384000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
         {
           "id": "deepseek-v3.2",
           "name": "DeepSeek V3.2",
@@ -34700,9 +36948,10 @@
           "id": "gpt-5.6-luna",
           "name": "GPT-5.6 Luna",
           "cost": {
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-            "output": 1.2,
-            "cache_read": 0.02
+            "input": 1,
+            "output": 6,
+            "cache_read": 0.1,
+            "cache_write": 1.25
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@@ -34716,9 +36965,10 @@
           "id": "gpt-5.6-terra",
           "name": "GPT-5.6 Terra",
           "cost": {
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-            "output": 12,
-            "cache_read": 0.2
+            "input": 2.5,
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@@ -36293,6 +38543,22 @@
           "structured_output": true,
           "image": true
         },
+        {
+          "id": "qwen-3-8-max",
+          "name": "Qwen 3.8 Max",
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+            "output": 7.5,
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+            "cache_write": 3.125
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+          "reasoning": true,
+          "tool_call": true,
+          "image": true,
+          "video": true
+        },
         {
           "id": "minimax-m25",
           "name": "MiniMax M2.5",
@@ -36510,7 +38776,7 @@
         },
         {
           "id": "deepseek-v4-flash",
-          "name": "DeepSeek V4 Flash",
+          "name": "DeepSeek V4 Flash 0423",
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             "output": 0.275,
@@ -37511,6 +39777,21 @@
           "structured_output": true,
           "image": true,
           "video": true
+        },
+        {
+          "id": "kimi-k3-fast-api",
+          "name": "Kimi K3 Fast",
+          "cost": {
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+            "output": 22.5,
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+          "structured_output": true,
+          "image": true
         }
       ]
     },
@@ -38047,6 +40328,20 @@
           "output_limit": 131072,
           "tool_call": true
         },
+        {
+          "id": "deepseek-ai/DeepSeek-V4-Flash-0731",
+          "name": "DeepSeek V4 Flash 0731",
+          "cost": {
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+          "output_limit": 384000,
+          "reasoning": true,
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+          "structured_output": true
+        },
         {
           "id": "deepseek-ai/DeepSeek-R1",
           "name": "DeepSeek-R1",
@@ -38197,7 +40492,7 @@
       "models": [
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           "id": "anthropic-claude-opus-4.8",
-          "name": "Claude Opus 4.8",
+          "name": "Anthropic Claude Opus 4.8",
           "cost": {
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             "output": 25,
@@ -38234,21 +40529,38 @@
           "tool_call": true,
           "image": true
         },
+        {
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+          "name": "OpenAI GPT-5.6 Terra",
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+            "output": 12,
+            "cache_read": 0.2
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+          "input_limit": 922000,
+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
         {
           "id": "glm-5",
           "name": "GLM 5",
           "cost": {
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-            "output": 3.2
+            "input": 0.75,
+            "output": 2.4,
+            "cache_read": 0.2
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         {
           "id": "openai-gpt-4.1",
-          "name": "GPT-4.1",
+          "name": "OpenAI GPT-4.1",
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             "output": 8,
@@ -38270,9 +40582,24 @@
           "context": 8192,
           "output_limit": 1024
         },
+        {
+          "id": "anthropic-claude-opus-5",
+          "name": "Anthropic Claude Opus 5",
+          "cost": {
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+            "output": 25,
+            "cache_read": 0.5,
+            "cache_write": 6.25
+          },
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+          "output_limit": 128000,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
         {
           "id": "mistral-3-14B",
-          "name": "Ministral 3 14B Instruct",
+          "name": "Ministral 3 14B",
           "cost": {
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             "output": 0.2
@@ -38284,12 +40611,12 @@
         },
         {
           "id": "openai-gpt-5.4-pro",
-          "name": "GPT-5.4 pro",
+          "name": "OpenAI GPT-5.4 Pro",
           "cost": {
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             "output": 180
           },
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@@ -38305,13 +40632,13 @@
         },
         {
           "id": "openai-gpt-oss-20b",
-          "name": "gpt-oss-20b",
+          "name": "OpenAI GPT-oss-20b",
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             "output": 0.45
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@@ -38324,15 +40651,15 @@
             "output": 4.3,
             "cache_read": 0.26
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           "structured_output": true
         },
         {
           "id": "nemotron-nano-12b-v2-vl",
-          "name": "Nemotron Nano 12B v2 VL",
+          "name": "Nemotron-nano 12b v2-vl",
           "cost": {
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             "output": 0.6
@@ -38341,45 +40668,18 @@
           "output_limit": 16384,
           "reasoning": true,
           "tool_call": true,
-          "image": true
+          "image": true,
+          "video": true
         },
         {
           "id": "anthropic-claude-4.5-sonnet",
-          "name": "Claude Sonnet 4.5",
+          "name": "Anthropic Claude 4.5 Sonnet",
           "cost": {
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             "output": 15,
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             "cache_write": 3.75
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@@ -38387,18 +40687,49 @@
           "image": true
         },
         {
-          "id": "kimi-k2.5",
-          "name": "Kimi K2.5",
+          "id": "nvidia-nemotron-3-super-120b",
+          "name": "NVIDIA Nemotron 3 Super 120B  (Public Preview)",
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+            "input": 0.165,
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           "reasoning": true,
           "tool_call": true,
           "structured_output": true
         },
+        {
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+          "name": "Anthropic Claude Opus 4.5",
+          "cost": {
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+            "cache_read": 0.5,
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+          },
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+          "output_limit": 8192,
+          "reasoning": true,
+          "tool_call": true,
+          "image": true
+        },
+        {
+          "id": "kimi-k2.5",
+          "name": "Kimi K2.5",
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+            "output": 2.025,
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+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
         {
           "id": "all-mini-lm-l6-v2",
           "name": "All-MiniLM-L6-v2",
@@ -38422,7 +40753,7 @@
         },
         {
           "id": "openai-gpt-5.3-codex",
-          "name": "GPT-5.3 Codex",
+          "name": "OpenAI GPT-5.3 Codex",
           "cost": {
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             "output": 14,
@@ -38439,19 +40770,19 @@
           "id": "glm-5.2",
           "name": "GLM-5.2",
           "cost": {
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-            "output": 4.4,
-            "cache_read": 0.21
+            "input": 0.7,
+            "output": 2.2,
+            "cache_read": 0.12
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+          "context": 262144,
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           "reasoning": true,
           "tool_call": true,
           "structured_output": true
         },
         {
           "id": "openai-gpt-4o",
-          "name": "GPT-4o",
+          "name": "OpenAI GPT-4o",
           "cost": {
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             "output": 10,
@@ -38465,15 +40796,15 @@
         },
         {
           "id": "anthropic-claude-haiku-4.5",
-          "name": "Claude Haiku 4.5",
+          "name": "Anthropic Claude Haiku 4.5",
           "cost": {
             "input": 1,
             "output": 5,
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+            "cache_read": 0.1,
             "cache_write": 1.25
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+          "output_limit": 8192,
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           "image": true
@@ -38482,11 +40813,12 @@
           "id": "kimi-k2.6",
           "name": "Kimi K2.6",
           "cost": {
-            "input": 0.95,
-            "output": 4
+            "input": 0.76,
+            "output": 3.2,
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           "structured_output": true,
@@ -38495,6 +40827,12 @@
         {
           "id": "anthropic-claude-fable-5",
           "name": "Anthropic Claude Fable 5",
+          "cost": {
+            "input": 10,
+            "output": 50,
+            "cache_read": 1,
+            "cache_write": 12.5
+          },
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@@ -38515,8 +40853,8 @@
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             "output": 0.99
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@@ -38537,13 +40875,13 @@
         },
         {
           "id": "nemotron-3-nano-omni",
-          "name": "Nemotron Nano 3 Omni",
+          "name": "Nemotron 3 Nano Omni",
           "cost": {
             "input": 0.5,
             "output": 0.9
           },
           "context": 65536,
-          "output_limit": 65536,
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@@ -38563,19 +40901,24 @@
         {
           "id": "deepseek-4-flash",
           "name": "Deepseek V4 Flash",
-          "context": 262144,
-          "output_limit": 8192,
+          "cost": {
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+            "output": 0.168,
+            "cache_read": 0.0168
+          },
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+          "output_limit": 384000,
           "tool_call": true
         },
         {
           "id": "openai-gpt-5.4",
-          "name": "GPT-5.4",
+          "name": "OpenAI GPT-5.4",
           "cost": {
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             "output": 15,
             "cache_read": 0.25
           },
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+          "context": 400000,
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           "reasoning": true,
           "tool_call": true,
@@ -38584,7 +40927,7 @@
         },
         {
           "id": "anthropic-claude-4.1-opus",
-          "name": "Claude Opus 4.1",
+          "name": "Anthropic Claude 4.1 Opus",
           "cost": {
             "input": 15,
             "output": 75,
@@ -38592,7 +40935,7 @@
             "cache_write": 18.75
           },
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-          "output_limit": 32000,
+          "output_limit": 8192,
           "reasoning": true,
           "tool_call": true,
           "image": true
@@ -38612,13 +40955,14 @@
         },
         {
           "id": "deepseek-v4-pro",
-          "name": "DeepSeek V4 Pro",
+          "name": "Deepseek V4 Pro",
           "cost": {
-            "input": 1.74,
-            "output": 3.48
+            "input": 0.87,
+            "output": 1.74,
+            "cache_read": 0.174
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-          "output_limit": 393216,
+          "context": 262144,
+          "output_limit": 52429,
           "reasoning": true,
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           "structured_output": true
@@ -38640,7 +40984,7 @@
         },
         {
           "id": "openai-gpt-5-mini",
-          "name": "GPT-5 mini",
+          "name": "OpenAI GPT-5 Mini",
           "cost": {
             "input": 0.25,
             "output": 2,
@@ -38655,7 +40999,7 @@
         },
         {
           "id": "openai-gpt-5.5",
-          "name": "GPT-5.5",
+          "name": "OpenAI GPT-5.5",
           "cost": {
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             "output": 30,
@@ -38673,10 +41017,11 @@
           "name": "Qwen3 Coder Flash",
           "cost": {
             "input": 0.45,
-            "output": 1.7
+            "output": 1.7,
+            "cache_read": 0.09
           },
           "context": 262144,
-          "output_limit": 65536,
+          "output_limit": 52429,
           "tool_call": true
         },
         {
@@ -38688,35 +41033,36 @@
         },
         {
           "id": "alibaba-qwen3-32b",
-          "name": "Qwen3-32B",
+          "name": "Qwen3 32B",
           "cost": {
             "input": 0.25,
             "output": 0.55
           },
-          "context": 131000,
-          "output_limit": 40960,
+          "context": 32768,
+          "output_limit": 6554,
           "reasoning": true,
           "tool_call": true,
           "structured_output": true
         },
         {
           "id": "openai-gpt-image-1.5",
-          "name": "GPT Image 1.5",
+          "name": "OpenAI GPT Image 1.5",
           "cost": {
             "input": 5,
             "output": 10,
             "cache_read": 1
           },
+          "output_limit": 16384,
           "image": true
         },
         {
           "id": "llama-4-maverick",
-          "name": "Llama 4 Maverick 17B 128E Instruct",
+          "name": "Llama 4 Maverick",
           "cost": {
-            "input": 0.25,
-            "output": 0.87
+            "input": 0.2,
+            "output": 0.696
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@@ -38724,7 +41070,7 @@
         },
         {
           "id": "openai-gpt-5.2-pro",
-          "name": "GPT-5.2 pro",
+          "name": "OpenAI GPT-5.2 Pro",
           "cost": {
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             "output": 168
@@ -38752,7 +41098,7 @@
         },
         {
           "id": "openai-gpt-5.4-mini",
-          "name": "GPT-5.4 mini",
+          "name": "OpenAI GPT-5.4 Mini",
           "cost": {
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             "output": 4.5,
@@ -38767,26 +41113,28 @@
         },
         {
           "id": "minimax-m2.5",
-          "name": "MiniMax M2.5",
+          "name": "MiniMax M2.5 (Public Preview)",
           "cost": {
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-            "output": 1.2
+            "input": 0.225,
+            "output": 0.9,
+            "cache_read": 0.06
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-          "output_limit": 128000,
+          "context": 65536,
+          "output_limit": 13107,
           "reasoning": true,
-          "tool_call": true
+          "tool_call": true,
+          "image": true
         },
         {
           "id": "arcee-trinity-large-thinking",
-          "name": "Trinity Large Thinking",
+          "name": "Arcee Trinity Large Thinking (Public Preview)",
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             "input": 0.25,
             "output": 0.9,
             "cache_read": 0.06
           },
-          "context": 256000,
-          "output_limit": 128000,
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@@ -38807,7 +41155,7 @@
         },
         {
           "id": "openai-o1",
-          "name": "o1",
+          "name": "OpenAI o1",
           "cost": {
             "input": 15,
             "output": 60,
@@ -38822,7 +41170,7 @@
         },
         {
           "id": "openai-gpt-5-nano",
-          "name": "GPT-5 nano",
+          "name": "OpenAI GPT-5 Nano",
           "cost": {
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             "output": 0.4,
@@ -38837,48 +41185,48 @@
         },
         {
           "id": "anthropic-claude-opus-4.6",
-          "name": "Claude Opus 4.6",
+          "name": "Anthropic Claude Opus 4.6",
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             "output": 25,
             "cache_read": 0.5,
             "cache_write": 6.25
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-          "output_limit": 128000,
+          "context": 200000,
+          "output_limit": 8192,
           "reasoning": true,
           "tool_call": true,
           "image": true
         },
         {
           "id": "anthropic-claude-4.6-sonnet",
-          "name": "Claude Sonnet 4.6",
+          "name": "Anthropic Claude Sonnet 4.6",
           "cost": {
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             "output": 15,
             "cache_read": 0.3,
             "cache_write": 3.75
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-          "output_limit": 64000,
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@@ -38886,13 +41234,19 @@
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@@ -38905,18 +41259,65 @@
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@@ -38938,16 +41339,50 @@
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@@ -39021,35 +41456,36 @@
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@@ -39064,20 +41500,22 @@
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@@ -39087,7 +41525,8 @@
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@@ -39114,13 +41553,14 @@
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@@ -39136,7 +41576,7 @@
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@@ -39151,7 +41591,7 @@
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@@ -40645,9 +43085,10 @@
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@@ -40838,9 +43279,10 @@
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@@ -42173,6 +44615,21 @@
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@@ -43605,6 +46062,37 @@
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@@ -43786,6 +46274,10 @@
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           "name": "Mistral Medium (latest)",
@@ -43907,6 +46399,21 @@
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@@ -44062,6 +46569,35 @@
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@@ -44135,7 +46671,8 @@
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@@ -44286,10 +46823,10 @@
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@@ -44303,10 +46840,10 @@
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@@ -48934,21 +51471,34 @@
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@@ -49034,19 +51584,6 @@
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@@ -49187,100 +51724,7 @@
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@@ -49296,8 +51740,85 @@
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@@ -49305,13 +51826,46 @@
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@@ -49327,23 +51881,86 @@
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-          "name": "Claude Opus 4.1",
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@@ -49354,26 +51971,74 @@
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@@ -49446,98 +52069,15 @@
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@@ -49545,8 +52085,8 @@
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@@ -49561,187 +52101,358 @@
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@@ -49915,6 +52626,20 @@
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           "name": "DeepSeek V3.2",
@@ -50082,6 +52807,22 @@
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           "video": true
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@@ -50190,21 +52931,23 @@
       "models": [
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@@ -50214,29 +52957,19 @@
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@@ -50250,14 +52983,15 @@
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@@ -50267,66 +53001,82 @@
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@@ -50342,6 +53092,32 @@
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           "video": true
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+        {
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+          "name": "NVIDIA: Nemotron 3.5 Content Safety (free)",
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@@ -50352,19 +53128,8 @@
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@@ -50375,24 +53140,12 @@
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-          "name": "Google: Lyria 3 Pro Preview",
+          "name": "Lyria 3 Pro Preview",
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@@ -50403,23 +53156,24 @@
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-          "name": "Google: Gemini 3.5 Flash",
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-          "name": "Google: Gemini 2.5 Flash",
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@@ -50430,6 +53184,7 @@
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@@ -50437,13 +53192,31 @@
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         {
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@@ -50457,11 +53230,12 @@
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-          "name": "Google: Lyria 3 Clip Preview",
+          "name": "Lyria 3 Clip Preview",
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@@ -50472,33 +53246,39 @@
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-          "name": "Google: Nano Banana Pro (Gemini 3 Pro Image Preview)",
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-          "name": "Google: Gemini 3.1 Flash Lite Preview",
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-          "name": "Google: Gemini 3 Flash Preview",
+          "name": "Gemini 3 Flash Preview",
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@@ -50506,47 +53286,36 @@
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-          "name": "Google: Gemini 3.1 Pro Preview Custom Tools",
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           "video": true
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         {
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-          "name": "Google: Gemini 2.0 Flash",
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@@ -50554,16 +53323,30 @@
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-          "name": "Google: Gemma 4 26B A4B",
+          "id": "google/gemini-3.1-flash-image-preview",
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@@ -50575,34 +53358,53 @@
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-          "name": "Google: Gemini 3.1 Flash Lite",
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@@ -50619,6 +53421,7 @@
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@@ -50626,82 +53429,105 @@
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@@ -50712,12 +53538,13 @@
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@@ -50728,9 +53555,38 @@
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@@ -50752,6 +53608,20 @@
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@@ -50762,28 +53632,45 @@
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@@ -50794,6 +53681,7 @@
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@@ -50801,40 +53689,75 @@
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@@ -50842,12 +53765,11 @@
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@@ -50855,10 +53777,10 @@
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@@ -50867,25 +53789,27 @@
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@@ -50898,12 +53822,13 @@
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@@ -50912,74 +53837,80 @@
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@@ -50987,33 +53918,33 @@
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@@ -51022,60 +53953,82 @@
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@@ -51085,13 +54038,13 @@
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@@ -51104,52 +54057,58 @@
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@@ -51157,38 +54116,41 @@
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@@ -51196,13 +54158,13 @@
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@@ -51211,14 +54173,15 @@
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@@ -51227,6 +54190,7 @@
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           "video": true
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@@ -51234,38 +54198,39 @@
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@@ -51275,52 +54240,54 @@
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@@ -51329,6 +54296,7 @@
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@@ -51336,13 +54304,15 @@
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@@ -51355,29 +54325,31 @@
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@@ -51395,6 +54367,21 @@
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@@ -51410,6 +54397,36 @@
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@@ -51436,7 +54453,8 @@
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@@ -51448,6 +54466,7 @@
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@@ -51460,7 +54479,8 @@
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@@ -51471,66 +54491,103 @@
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@@ -51538,11 +54595,13 @@
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@@ -51550,11 +54609,13 @@
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@@ -51566,79 +54627,63 @@
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@@ -51648,6 +54693,7 @@
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@@ -51655,79 +54701,53 @@
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@@ -51742,28 +54762,15 @@
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@@ -51771,23 +54778,27 @@
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@@ -51795,33 +54806,53 @@
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@@ -52384,16 +55505,17 @@
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@@ -54452,19 +57588,64 @@
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+          "name": "StepFun: Step 3.7 Flash (free)",
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+          "name": "Step 3.7 Flash",
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@@ -54473,7 +57654,8 @@
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@@ -54540,6 +57722,19 @@
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+          "name": "Gemini 2.5 Computer Use Preview (10-2025)",
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           "name": "Gemini Flash Latest",
@@ -54586,6 +57781,22 @@
           "structured_output": true,
           "image": true
         },
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         {
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           "name": "Gemini 3.1 Flash Lite Preview",
@@ -54634,7 +57845,7 @@
         },
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-          "name": "Gemma 4 26B-A4B",
+          "name": "Gemma 4 26B A4B",
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@@ -54653,6 +57864,22 @@
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+          "name": "Gemini 3.6 Flash",
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         {
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           "name": "Gemini 3.1 Flash-Lite",
@@ -54670,7 +57897,7 @@
         },
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-          "name": "Gemma 4 31B IT",
+          "name": "Gemma 4 31B It",
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@@ -54692,7 +57919,8 @@
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@@ -54756,12 +57984,27 @@
           "structured_output": true,
           "image": true
         },
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+          "name": "Inkling",
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@@ -54789,8 +58032,8 @@
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@@ -54803,6 +58046,7 @@
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@@ -54827,7 +58071,8 @@
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@@ -54839,7 +58084,8 @@
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@@ -54849,10 +58095,10 @@
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@@ -54864,7 +58110,8 @@
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@@ -54894,13 +58141,14 @@
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@@ -54910,9 +58158,11 @@
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@@ -54924,7 +58174,8 @@
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@@ -54935,7 +58186,8 @@
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@@ -54946,7 +58198,22 @@
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@@ -54957,7 +58224,8 @@
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@@ -54969,7 +58237,8 @@
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@@ -54981,7 +58250,8 @@
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@@ -54993,7 +58263,8 @@
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@@ -55005,7 +58276,8 @@
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@@ -55016,7 +58288,8 @@
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@@ -55028,30 +58301,34 @@
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+          "image": true
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-          "name": "Qwen3 Next 80B A3B Instruct",
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@@ -55165,6 +58442,21 @@
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+          "name": "Kimi K3",
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@@ -55579,9 +58871,7 @@
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@@ -55593,7 +58883,7 @@
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@@ -55774,6 +59064,22 @@
           "structured_output": true,
           "image": true
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+          "name": "Claude Opus 5",
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@@ -55834,9 +59140,9 @@
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@@ -56098,9 +59404,9 @@
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@@ -56219,9 +59525,9 @@
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@@ -56314,7 +59620,7 @@
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             "output": 4.4,
@@ -56438,6 +59744,39 @@
         }
       ]
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+    "scx": {
+      "id": "scx",
+      "name": "SCX.ai",
+      "models": [
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+          "name": "MiniMax-M2.7",
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+          "name": "GPT OSS 120B",
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+      ]
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     "cloudferro-sherlock": {
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@@ -56791,15 +60130,18 @@
       "models": [
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-          "name": "Qwen3.7-Flash",
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@@ -56812,6 +60154,7 @@
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@@ -56819,12 +60162,13 @@
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@@ -56859,12 +60203,13 @@
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@@ -56872,12 +60217,13 @@
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@@ -56904,6 +60250,7 @@
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@@ -56917,6 +60264,7 @@
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@@ -56964,12 +60312,13 @@
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@@ -56977,9 +60326,9 @@
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@@ -56999,13 +60348,40 @@
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+          "name": "Qwen3.8 Max Preview",
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+        {
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+          "name": "DeepSeek V4 Flash 0731",
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+            "output": 0.304864,
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@@ -57023,6 +60399,7 @@
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@@ -57038,6 +60415,7 @@
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@@ -57052,6 +60430,7 @@
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@@ -57060,9 +60439,9 @@
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@@ -62332,6 +65106,23 @@
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@@ -65005,6 +67796,7 @@
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@@ -65098,10 +67890,10 @@
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@@ -65182,12 +67974,11 @@
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@@ -65299,6 +68090,23 @@
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@@ -65409,11 +68217,11 @@
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@@ -65449,11 +68257,11 @@
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@@ -65613,12 +68421,11 @@
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@@ -65626,9 +68433,8 @@
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@@ -65919,8 +68725,8 @@
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@@ -66042,7 +68848,7 @@
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@@ -66101,8 +68907,8 @@
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@@ -66346,9 +69152,9 @@
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@@ -67381,12 +70187,12 @@
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@@ -67551,9 +70357,9 @@
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@@ -68550,11 +71356,11 @@
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@@ -68767,6 +71573,19 @@
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@@ -69183,6 +72002,19 @@
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+          "name": "DeepSeek V4 Flash 0731",
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@@ -70506,6 +73338,20 @@
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+          "name": "Gemma 4 E4B IT",
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           "name": "Gemma 4 31B IT",
@@ -70521,6 +73367,34 @@
           "image": true,
           "video": true
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@@ -70553,9 +73427,9 @@
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@@ -70605,6 +73479,20 @@
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@@ -70725,6 +73613,21 @@
           "image": true,
           "video": true
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           "name": "Qwen3 32B",
@@ -70814,9 +73717,24 @@
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           "video": true
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+          "name": "DeepSeek V4 Flash 0731",
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@@ -70873,6 +73791,21 @@
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@@ -72532,6 +75465,38 @@
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+        {
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+          "name": "Qwen3.8 Max",
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+          "video": true
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+        {
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+          "name": "DeepSeek V4 Flash 0731",
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@@ -72746,7 +75711,7 @@
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@@ -72756,7 +75721,7 @@
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@@ -72771,7 +75736,7 @@
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@@ -72785,7 +75750,7 @@
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@@ -72799,7 +75764,7 @@
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@@ -72810,7 +75775,7 @@
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@@ -72824,7 +75789,7 @@
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@@ -72838,7 +75803,7 @@
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@@ -72853,7 +75818,7 @@
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@@ -72868,7 +75833,7 @@
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@@ -72876,13 +75841,27 @@
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+        {
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@@ -72898,7 +75877,7 @@
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@@ -73864,6 +76843,15 @@
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+          "name": "DeepSeek V4 Flash 0731",
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+          "output_limit": 1048576,
+          "reasoning": true,
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@@ -76703,30 +79691,20 @@
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@@ -76734,72 +79712,224 @@
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@@ -76808,12 +79938,12 @@
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@@ -76821,153 +79951,498 @@
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           "context": 1048576,
           "output_limit": 384000,
@@ -76975,301 +80450,425 @@
           "tool_call": true
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         {
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-          "name": "DeepSeek R1 0528",
+          "id": "mixtral-8x7B-instruct-v0.1",
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-          "name": "GPT-5.4",
+          "id": "qwen3-235b-a22b-instruct-2507",
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         {
@@ -77277,37 +80876,54 @@
           "name": "Kimi K3",
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         {
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@@ -77316,26 +80932,26 @@
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@@ -77344,55 +80960,131 @@
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+        {
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         {
           "id": "gpt-4.1",
-          "name": "GPT 4.1",
+          "name": "GPT-4.1",
           "cost": {
-            "input": 2.354,
-            "output": 9.417
+            "input": 2.192,
+            "output": 8.769,
+            "cache_read": 0.546
           },
           "context": 1047576,
-          "output_limit": 32768,
+          "output_limit": 1047576,
           "tool_call": true,
           "image": true
         },
+        {
+          "id": "qwen3guard-gen-0.6b",
+          "name": "qwen3guard-gen-0.6b",
+          "cost": {
+            "input": 0,
+            "output": 0
+          },
+          "context": 32000,
+          "output_limit": 32000
+        },
         {
           "id": "llama-3.1-405b-instruct",
           "name": "Llama 3.1 405B Instruct",
           "cost": {
-            "input": 0,
-            "output": 0
+            "input": 1.95,
+            "output": 1.95
           },
           "context": 128000,
           "output_limit": 128000,
-          "tool_call": true
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "claude-opus-5",
+          "name": "Claude Opus 5",
+          "cost": {
+            "input": 5.5,
+            "output": 27.498,
+            "cache_read": 0.55,
+            "cache_write": 6.874
+          },
+          "context": 1000000,
+          "output_limit": 1000000,
+          "reasoning": true,
+          "tool_call": true,
+          "structured_output": true,
+          "image": true
         },
         {
           "id": "qwen3-coder-next",
           "name": "Qwen3 Coder Next 80B",
           "cost": {
-            "input": 0.158,
-            "output": 0.84
+            "input": 0.167,
+            "output": 0.891
           },
           "context": 256000,
           "output_limit": 65536,
           "reasoning": true,
-          "tool_call": true
+          "tool_call": true,
+          "structured_output": true
+        },
+        {
+          "id": "mistral-7b-instruct-v0.3",
+          "name": "mistral-7b-instruct-v0.3",
+          "cost": {
+            "input": 0.111,
+            "output": 0.111
+          },
+          "context": 127000,
+          "output_limit": 127000,
+          "tool_call": true,
+          "structured_output": true
         },
         {
           "id": "qwen3.5-122b-a10b",
-          "name": "Qwen3.5 122B A10B",
+          "name": "Qwen3.5 122B-A10B",
           "cost": {
-            "input": 0.444,
-            "output": 3.106
+            "input": 0.495,
+            "output": 3.46,
+            "cache_read": 0.124
           },
           "context": 262144,
           "output_limit": 262144,
@@ -77403,38 +81095,55 @@
           "id": "hermes-4-70b",
           "name": "Hermes 4 70B",
           "cost": {
-            "input": 0.116,
-            "output": 0.358
+            "input": 0.129,
+            "output": 0.399
           },
           "context": 128000,
           "output_limit": 128000,
-          "reasoning": true,
-          "tool_call": true
+          "tool_call": true,
+          "structured_output": true
         },
         {
           "id": "claude-4-5-sonnet",
-          "name": "Claude 4.5 Sonnet",
+          "name": "Claude Sonnet 4.5 (latest)",
           "cost": {
-            "input": 3.259,
-            "output": 16.296
+            "input": 2.989,
+            "output": 14.945,
+            "cache_read": 0.326,
+            "cache_write": 4.078
           },
           "context": 200000,
           "output_limit": 200000,
           "reasoning": true,
           "tool_call": true,
+          "structured_output": true,
           "image": true
         },
         {
           "id": "mistral-large-2512",
-          "name": "Mistral Large 3 2512",
+          "name": "Mistral Large 3",
           "cost": {
-            "input": 0.5,
-            "output": 1.5,
-            "cache_read": 0.05
+            "input": 0.557,
+            "output": 1.671,
+            "cache_read": 0.056
           },
           "context": 256000,
           "output_limit": 256000,
           "tool_call": true,
+          "structured_output": true,
+          "image": true
+        },
+        {
+          "id": "qwen2.5-vl-72b-instruct",
+          "name": "qwen2.5-vl-72b-instruct",
+          "cost": {
+            "input": 0.25,
+            "output": 0.747
+          },
+          "context": 32000,
+          "output_limit": 32000,
+          "reasoning": true,
+          "structured_output": true,
           "image": true
         }
       ]
diff --git a/src/lib/models-dev.json b/src/lib/models-dev.json
index 74aa2d1..50e5476 100644
--- a/src/lib/models-dev.json
+++ b/src/lib/models-dev.json
@@ -1,5 +1,5 @@
 {
-  "last_updated": "2026-08-02",
+  "last_updated": "2026-08-05",
   "zhipuai/glm-5": {
     "name": "GLM-5",
     "context": 204800,
@@ -419,6 +419,964 @@
     "structured_output": true,
     "image": true
   },
+  "impossibl/google/gemini-3.5-flash": {
+    "name": "Gemini 3.5 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1.5,
+      "output": 9,
+      "cache_read": 0.15
+    }
+  },
+  "impossibl/google/gemini-2.5-flash": {
+    "name": "Gemini 2.5 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.3,
+      "output": 2.5,
+      "cache_read": 0.03
+    }
+  },
+  "impossibl/google/gemini-3.5-flash-lite": {
+    "name": "Gemini 3.5 Flash Lite",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.3,
+      "output": 2.5,
+      "cache_read": 0.03
+    }
+  },
+  "impossibl/google/gemini-3.6-flash": {
+    "name": "Gemini 3.6 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1.5,
+      "output": 7.5,
+      "cache_read": 0.15
+    }
+  },
+  "impossibl/google/gemini-3.1-flash-lite": {
+    "name": "Gemini 3.1 Flash Lite",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.25,
+      "output": 1.5,
+      "cache_read": 0.025
+    }
+  },
+  "impossibl/google/gemini-3.1-pro-preview": {
+    "name": "Gemini 3.1 Pro Preview",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 2,
+      "output": 12,
+      "cache_read": 0.2
+    }
+  },
+  "impossibl/google/gemini-2.5-pro": {
+    "name": "Gemini 2.5 Pro",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 1.25,
+      "output": 10,
+      "cache_read": 0.125
+    }
+  },
+  "impossibl/google/gemini-2.5-flash-lite": {
+    "name": "Gemini 2.5 Flash-Lite",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.1,
+      "output": 0.4,
+      "cache_read": 0.01
+    }
+  },
+  "impossibl/thinkingmachines/inkling": {
+    "name": "Inkling",
+    "context": 65536,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 1.87,
+      "output": 4.68,
+      "cache_read": 0.374
+    }
+  },
+  "impossibl/qwen/qwen3.7-plus": {
+    "name": "Qwen3.7 Plus",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.4,
+      "output": 1.6,
+      "cache_read": 0.08
+    }
+  },
+  "impossibl/qwen/qwen3.8-max-preview": {
+    "name": "Qwen3.8 Max Preview",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 2.5,
+      "output": 7.5
+    }
+  },
+  "impossibl/qwen/qwen3.7-max": {
+    "name": "Qwen3.7 Max",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 2.5,
+      "output": 7.5,
+      "cache_read": 0.5
+    }
+  },
+  "impossibl/qwen/qwen3.6-flash": {
+    "name": "Qwen3.6 Flash",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.25,
+      "output": 1.5,
+      "cache_read": 0.05
+    }
+  },
+  "impossibl/xai/grok-4.3": {
+    "name": "Grok 4.3",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 1.25,
+      "output": 2.5,
+      "cache_read": 0.2
+    }
+  },
+  "impossibl/xai/grok-4.20-0309-non-reasoning": {
+    "name": "Grok 4.20 (Non-Reasoning)",
+    "context": 1000000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 1.25,
+      "output": 2.5,
+      "cache_read": 0.2
+    }
+  },
+  "impossibl/xai/grok-4.5": {
+    "name": "Grok 4.5",
+    "context": 500000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 2,
+      "output": 6,
+      "cache_read": 0.3
+    }
+  },
+  "impossibl/xai/grok-build-0.1": {
+    "name": "Grok Build 0.1",
+    "context": 256000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 1,
+      "output": 2,
+      "cache_read": 0.2
+    }
+  },
+  "impossibl/xai/grok-4.20-0309-reasoning": {
+    "name": "Grok 4.20 (Reasoning)",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 1.25,
+      "output": 2.5,
+      "cache_read": 0.2
+    }
+  },
+  "impossibl/fireworks/gpt-oss-20b": {
+    "name": "GPT OSS 20B",
+    "context": 131072,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.07,
+      "output": 0.3,
+      "cache_read": 0.035
+    }
+  },
+  "impossibl/fireworks/glm-5.2": {
+    "name": "GLM-5.2",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.4,
+      "output": 4.4,
+      "cache_read": 0.14
+    }
+  },
+  "impossibl/fireworks/gpt-oss-120b": {
+    "name": "GPT OSS 120B",
+    "context": 131072,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.15,
+      "output": 0.6,
+      "cache_read": 0.015
+    }
+  },
+  "impossibl/groq/gpt-oss-20b": {
+    "name": "GPT OSS 20B",
+    "context": 131072,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.075,
+      "output": 0.3,
+      "cache_read": 0.0375
+    }
+  },
+  "impossibl/groq/gpt-oss-120b": {
+    "name": "GPT OSS 120B",
+    "context": 131072,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.15,
+      "output": 0.6,
+      "cache_read": 0.075
+    }
+  },
+  "impossibl/deepseek/deepseek-v4-flash": {
+    "name": "DeepSeek V4 Flash",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.19,
+      "output": 0.51,
+      "cache_read": 0.028
+    }
+  },
+  "impossibl/deepseek/deepseek-v4-pro": {
+    "name": "DeepSeek V4 Pro",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.74,
+      "output": 3.48,
+      "cache_read": 0.145
+    }
+  },
+  "impossibl/xiaomi/mimo-v2.5": {
+    "name": "MiMo-V2.5",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "video": true,
+    "cost": {
+      "input": 0.14,
+      "output": 0.28,
+      "cache_read": 0.003
+    }
+  },
+  "impossibl/anthropic/claude-sonnet-4-6": {
+    "name": "Claude Sonnet 4.6",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 3,
+      "output": 15,
+      "cache_read": 0.3,
+      "cache_write": 3.75
+    }
+  },
+  "impossibl/anthropic/claude-haiku-4-5": {
+    "name": "Claude Haiku 4.5 (latest)",
+    "context": 200000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 1,
+      "output": 5,
+      "cache_read": 0.1,
+      "cache_write": 1.25
+    }
+  },
+  "impossibl/anthropic/claude-opus-4-6": {
+    "name": "Claude Opus 4.6",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 5,
+      "output": 25,
+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "impossibl/anthropic/claude-fable-5": {
+    "name": "Claude Fable 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 10,
+      "output": 50,
+      "cache_read": 1,
+      "cache_write": 12.5
+    }
+  },
+  "impossibl/anthropic/claude-opus-4-8": {
+    "name": "Claude Opus 4.8",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 25,
+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "impossibl/anthropic/claude-sonnet-4-5": {
+    "name": "Claude Sonnet 4.5 (latest)",
+    "context": 200000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 3,
+      "output": 15,
+      "cache_read": 0.3,
+      "cache_write": 3.75
+    }
+  },
+  "impossibl/anthropic/claude-opus-4-7": {
+    "name": "Claude Opus 4.7",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 5,
+      "output": 25,
+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "impossibl/anthropic/claude-opus-4-5": {
+    "name": "Claude Opus 4.5 (latest)",
+    "context": 200000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "impossibl/anthropic/claude-sonnet-5": {
+    "name": "Claude Sonnet 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 10,
+      "cache_read": 0.2,
+      "cache_write": 2.5
+    }
+  },
+  "impossibl/cerebras/gpt-oss-120b": {
+    "name": "GPT OSS 120B",
+    "context": 131072,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.35,
+      "output": 0.75
+    }
+  },
+  "impossibl/moonshotai/kimi-k3": {
+    "name": "Kimi K3",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
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+      "output": 15,
+      "cache_read": 0.3
+    }
+  },
+  "impossibl/openai/gpt-5.1-codex-mini": {
+    "name": "GPT-5.1 Codex mini",
+    "context": 400000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.25,
+      "output": 2,
+      "cache_read": 0.025
+    }
+  },
+  "impossibl/openai/gpt-5.5-pro": {
+    "name": "GPT-5.5 Pro",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 30,
+      "output": 180,
+      "cache_read": 3
+    }
+  },
+  "impossibl/openai/gpt-4.1-mini": {
+    "name": "GPT-4.1 mini",
+    "context": 1047576,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.4,
+      "output": 1.6,
+      "cache_read": 0.1
+    }
+  },
+  "impossibl/openai/gpt-4o": {
+    "name": "GPT-4o",
+    "context": 128000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 2.5,
+      "output": 10,
+      "cache_read": 1.25
+    }
+  },
+  "impossibl/openai/gpt-5.4-pro": {
+    "name": "GPT-5.4 Pro",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 30,
+      "output": 180,
+      "cache_read": 3
+    }
+  },
+  "impossibl/openai/gpt-5.6-sol": {
+    "name": "GPT-5.6 Sol",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 5,
+      "output": 30,
+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "impossibl/openai/gpt-4.1-nano": {
+    "name": "GPT-4.1 nano",
+    "context": 1047576,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.1,
+      "output": 0.4,
+      "cache_read": 0.025
+    }
+  },
+  "impossibl/openai/o3-mini": {
+    "name": "o3-mini",
+    "context": 200000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.1,
+      "output": 4.4,
+      "cache_read": 0.55
+    }
+  },
+  "impossibl/openai/gpt-5.5": {
+    "name": "GPT-5.5",
+    "context": 1050000,
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     "name": "Qwen3.6 27B",
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@@ -671,6 +1629,18 @@
       "output": 10.26
     }
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   "greenpt/qwen3.6-35b-a3b": {
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@@ -694,6 +1664,18 @@
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@@ -705,6 +1687,18 @@
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     }
   },
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     "name": "Qwen3-Coder 30B-A3B Instruct",
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@@ -732,7 +1726,8 @@
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@@ -752,8 +1747,9 @@
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+      "input": 0.7524,
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   "greenpt/pixtral-12b-2409": {
@@ -773,6 +1769,30 @@
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+  "greenpt/glm-5.2-caveman-ultra": {
+    "name": "GLM-5.2 Caveman Ultra",
+    "context": 1000000,
+    "reasoning": true,
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+    }
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+    "reasoning": true,
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+    }
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   "greenpt/green-s-pro": {
     "name": "Green S Pro",
     "cost": {
@@ -812,6 +1832,30 @@
       "output": 0.684
     }
   },
+  "greenpt/deepseek-v4-flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
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+  "greenpt/glm-5.2-honey-ultra": {
+    "name": "GLM-5.2 Honey Ultra",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+      "cache_read": 0.3135
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   "greenpt/qwen3-235b-a22b-instruct-2507": {
     "name": "Qwen3 235B A22B Instruct 2507",
     "context": 262144,
@@ -822,6 +1866,18 @@
       "output": 3.078
     }
   },
+  "greenpt/glm-5.2-honey": {
+    "name": "GLM-5.2 Honey",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+    }
+  },
   "greenpt/voxtral-small-24b-2507": {
     "name": "Voxtral Small 24B",
     "context": 32768,
@@ -849,8 +1905,9 @@
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+      "input": 0.1938,
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   "greenpt/gemma4": {
@@ -872,8 +1929,9 @@
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   "greenpt/mistral-small-3.2-24b-instruct-2506": {
@@ -908,6 +1966,19 @@
       "output": 8.778
     }
   },
+  "greenpt/kimi-k3": {
+    "name": "Kimi K3",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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     "name": "Qwen3.5 397B-A17B",
     "context": 262144,
@@ -919,6 +1990,30 @@
       "output": 4.959
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+  "greenpt/glm-5.2-honey-lite": {
+    "name": "GLM-5.2 Honey Lite",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+  "greenpt/glm-5.2-caveman-lite": {
+    "name": "GLM-5.2 Caveman Lite",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
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+  },
   "greenpt/green-r": {
     "name": "Green R",
     "context": 131072,
@@ -931,17 +2026,6 @@
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@@ -1014,30 +2098,6 @@
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@@ -1099,18 +2159,6 @@
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     "name": "MiniMax M2.5",
     "context": 196608,
@@ -1147,6 +2195,18 @@
       "cache_read": 0.05
     }
   },
+  "wandb/deepseek-ai/DeepSeek-V4-Flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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   "wandb/deepseek-ai/DeepSeek-V3.1": {
     "name": "DeepSeek V3.1",
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@@ -1206,19 +2266,6 @@
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     "name": "Kimi K2.7 Code",
     "context": 262144,
@@ -1422,11 +2469,27 @@
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     }
   },
+  "crossmodel/qwen/qwen3.7-flash": {
+    "name": "Qwen3.7 Flash",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
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   "crossmodel/qwen/qwen3.7-plus": {
     "name": "Qwen3.7 Plus",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
@@ -1441,6 +2504,7 @@
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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@@ -1448,6 +2512,21 @@
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+    "name": "Qwen3.8 Max",
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+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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@@ -1468,6 +2547,7 @@
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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     "video": true,
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@@ -1482,6 +2562,7 @@
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@@ -1494,6 +2575,7 @@
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@@ -1563,6 +2645,7 @@
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@@ -1575,6 +2658,7 @@
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@@ -1670,6 +2755,7 @@
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@@ -1682,6 +2768,7 @@
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@@ -1695,6 +2782,7 @@
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@@ -1708,6 +2796,7 @@
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@@ -1721,6 +2810,7 @@
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@@ -1734,6 +2824,7 @@
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@@ -1747,6 +2838,7 @@
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@@ -1760,6 +2852,7 @@
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@@ -1773,6 +2866,7 @@
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@@ -1811,6 +2905,7 @@
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@@ -2485,6 +3580,21 @@
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+    "name": "Qwen3.8 Max",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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@@ -4007,7 +5117,7 @@
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-    "name": "DeepSeek V4 Flash 0731",
+    "name": "Deepseek V4 Flash 0731",
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@@ -5405,7 +6515,8 @@
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@@ -6316,8 +7427,9 @@
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@@ -6325,7 +7437,23 @@
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+  "nano-gpt/qwen3.7-flash": {
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+    "reasoning": true,
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+    "structured_output": true,
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@@ -6333,21 +7461,23 @@
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@@ -6355,7 +7485,8 @@
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@@ -6395,7 +7527,8 @@
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@@ -6417,8 +7550,22 @@
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@@ -6430,7 +7577,8 @@
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@@ -6498,7 +7628,8 @@
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+  "nano-gpt/pokee-isaac": {
+    "name": "Pokee-Isaac 28B",
+    "context": 10000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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@@ -6529,7 +7673,8 @@
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+    "tool_call": true,
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+    }
+  },
+  "nano-gpt/mercury-coder-small": {
+    "name": "Mercury Coder Small",
+    "context": 32768,
+    "cost": {
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@@ -16915,6 +18715,17 @@
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@@ -18421,20 +20243,6 @@
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@@ -21155,6 +22962,111 @@
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@@ -21183,7 +23095,7 @@
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@@ -21207,6 +23119,19 @@
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@@ -21224,7 +23149,7 @@
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@@ -27598,6 +29523,20 @@
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@@ -27612,6 +29551,18 @@
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@@ -27760,6 +29711,20 @@
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@@ -27983,6 +29948,34 @@
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@@ -28272,9 +30265,10 @@
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@@ -28285,9 +30279,10 @@
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   "azure-cognitive-services/claude-opus-4-5": {
@@ -29562,6 +31557,20 @@
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   "venice/minimax-m25": {
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@@ -29746,7 +31755,7 @@
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   "venice/deepseek-v4-flash": {
-    "name": "DeepSeek V4 Flash",
+    "name": "DeepSeek V4 Flash 0423",
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     "reasoning": true,
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@@ -30608,6 +32617,19 @@
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@@ -31041,6 +33063,18 @@
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   "togetherai/deepseek-ai/DeepSeek-R1": {
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@@ -31162,7 +33196,7 @@
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   "digitalocean/anthropic-claude-opus-4.8": {
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@@ -35750,6 +37952,9 @@
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@@ -35851,6 +38056,18 @@
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@@ -35974,6 +38191,31 @@
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@@ -40337,11 +42499,79 @@
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@@ -40350,7 +42580,35 @@
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@@ -40364,76 +42622,40 @@
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@@ -40564,166 +42809,315 @@
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@@ -40865,6 +43259,18 @@
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@@ -41010,6 +43416,20 @@
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@@ -41089,22 +43509,25 @@
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@@ -41112,21 +43535,12 @@
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@@ -41139,9 +43553,10 @@
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@@ -41150,58 +43565,72 @@
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@@ -41216,48 +43645,51 @@
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+    "name": "Lyria 3 Pro Preview",
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@@ -41266,24 +43698,26 @@
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-    "name": "Google: Gemini 3.5 Flash",
+    "name": "Gemini 3.5 Flash",
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-    "name": "Google: Gemini 2.5 Flash",
+    "name": "Gemini 2.5 Flash",
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@@ -41296,10 +43730,26 @@
   "kilo/google/gemma-3-4b-it": {
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@@ -41307,6 +43757,7 @@
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@@ -41316,7 +43767,7 @@
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-    "name": "Google: Lyria 3 Clip Preview",
+    "name": "Lyria 3 Clip Preview",
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@@ -41325,32 +43776,39 @@
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-    "name": "Google: Nano Banana Pro (Gemini 3 Pro Image Preview)",
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   "kilo/google/gemini-3-flash-preview": {
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+    "name": "Gemini 3 Flash Preview",
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     "reasoning": true,
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@@ -41361,34 +43819,35 @@
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   "kilo/google/gemini-3.1-pro-preview-customtools": {
-    "name": "Google: Gemini 3.1 Pro Preview Custom Tools",
+    "name": "Gemini 3.1 Pro Preview Custom Tools",
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-    "name": "Google: Gemini 2.0 Flash",
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-    "tool_call": true,
+  "kilo/google/gemini-3.1-flash-lite-image": {
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   "kilo/google/gemini-3.1-flash-image-preview": {
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@@ -41396,20 +43855,22 @@
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-    "name": "Google: Gemma 4 26B A4B",
+    "name": "Gemma 4 26B A4B IT",
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@@ -41417,27 +43878,43 @@
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@@ -41445,6 +43922,7 @@
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@@ -41457,73 +43935,95 @@
   "kilo/google/gemma-3-12b-it": {
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   "kilo/google/gemma-3n-e4b-it": {
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@@ -41534,10 +44034,11 @@
     }
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+    "name": "Gemini 2.5 Flash-Lite",
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@@ -41547,6 +44048,30 @@
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@@ -41564,10 +44089,23 @@
       "output": 3
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@@ -41575,25 +44113,40 @@
       "output": 1.5
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   "kilo/~google/gemini-flash-latest": {
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+    "name": "Google Gemini Flash Latest",
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   "kilo/~google/gemini-pro-latest": {
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@@ -41608,34 +44161,64 @@
     "context": 1000000,
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   "kilo/qwen/qwen3-32b": {
-    "name": "Qwen: Qwen3 32B",
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@@ -41644,19 +44227,18 @@
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@@ -41664,19 +44246,21 @@
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   "kilo/qwen/qwen3-coder-30b-a3b-instruct": {
-    "name": "Qwen: Qwen3 Coder 30B A3B Instruct",
+    "name": "Qwen3-Coder 30B-A3B Instruct",
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@@ -41684,6 +44268,7 @@
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@@ -41692,10 +44277,11 @@
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@@ -41704,56 +44290,61 @@
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@@ -41765,99 +44356,120 @@
     "name": "Qwen: Qwen2.5 7B Instruct",
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@@ -41868,9 +44480,10 @@
     "name": "Qwen2.5 72B Instruct",
     "context": 32768,
     "tool_call": true,
+    "structured_output": true,
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   "kilo/qwen/qwen-plus-2025-07-28:thinking": {
@@ -41878,29 +44491,33 @@
     "context": 1000000,
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-    }
-  },
-  "kilo/qwen/qwen-plus": {
-    "name": "Qwen: Qwen-Plus",
-    "context": 1000000,
-    "tool_call": true,
+    "structured_output": true,
     "cost": {
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       "output": 1.2,
-      "cache_read": 0.08
+      "cache_write": 0.5
+    }
+  },
+  "kilo/qwen/qwen-plus": {
+    "name": "Qwen Plus",
+    "context": 1000000,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
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+      "output": 0.78,
+      "cache_read": 0.052,
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   "kilo/qwen/qwen3-30b-a3b-thinking-2507": {
     "name": "Qwen: Qwen3 30B A3B Thinking 2507",
-    "context": 32768,
+    "context": 81920,
     "reasoning": true,
     "tool_call": true,
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-      "output": 0.34
+      "input": 0.2,
+      "output": 2.4
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   "kilo/qwen/qwen3-vl-8b-thinking": {
@@ -41908,48 +44525,52 @@
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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+      "input": 0.18,
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   "kilo/qwen/qwen3-235b-a22b-2507": {
     "name": "Qwen: Qwen3 235B A22B Instruct 2507",
-    "context": 262144,
+    "context": 131072,
     "tool_call": true,
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-      "output": 0.1
+      "input": 0.1495,
+      "output": 0.598
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   },
   "kilo/qwen/qwen3.6-flash": {
-    "name": "Qwen: Qwen3.6 Flash",
+    "name": "Qwen3.6 Flash",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
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-      "output": 1.5,
-      "cache_write": 0.3125
+      "input": 0.1875,
+      "output": 1.125,
+      "cache_write": 0.234375
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   "kilo/qwen/qwen3-30b-a3b-instruct-2507": {
     "name": "Qwen: Qwen3 30B A3B Instruct 2507",
-    "context": 262144,
+    "context": 128000,
     "tool_call": true,
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-      "output": 0.3,
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   "kilo/qwen/qwen3-vl-30b-a3b-instruct": {
     "name": "Qwen: Qwen3 VL 30B A3B Instruct",
-    "context": 131072,
+    "context": 262144,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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@@ -41957,10 +44578,11 @@
     }
   },
   "kilo/qwen/qwen3.5-397b-a17b": {
-    "name": "Qwen: Qwen3.5 397B A17B",
+    "name": "Qwen3.5 397B-A17B",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
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@@ -41972,9 +44594,8 @@
     "name": "Qwen2.5 Coder 32B Instruct",
     "context": 32768,
     "cost": {
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-      "output": 0.2,
-      "cache_read": 0.015
+      "input": 0.66,
+      "output": 1
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   "kilo/qwen/qwen3-vl-235b-a22b-thinking": {
@@ -41982,21 +44603,23 @@
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 2.6
+      "input": 0.4,
+      "output": 4
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   },
   "kilo/qwen/qwen3.6-max-preview": {
-    "name": "Qwen: Qwen3.6 Max Preview",
+    "name": "Qwen3.6 Max Preview",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 6.24,
-      "cache_write": 1.3
+      "input": 1.027,
+      "output": 6.162,
+      "cache_write": 1.28375
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   "kilo/qwen/qwen3-max-thinking": {
@@ -42004,6 +44627,7 @@
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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       "output": 3.9
@@ -42013,40 +44637,42 @@
     "name": "Qwen: Qwen3 Coder 480B A35B",
     "context": 262144,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 1,
-      "cache_read": 0.022
+      "input": 0.975,
+      "output": 4.875
     }
   },
   "kilo/qwen/qwen3-coder-next": {
     "name": "Qwen: Qwen3 Coder Next",
     "context": 262144,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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-      "output": 0.75,
-      "cache_read": 0.035
+      "input": 0.3,
+      "output": 1.5
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   },
   "kilo/qwen/qwen3.6-plus": {
-    "name": "Qwen: Qwen3.6 Plus",
+    "name": "Qwen3.6 Plus",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
+    "video": true,
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       "cache_write": 0.40625
     }
   },
   "kilo/qwen/qwen3.5-122b-a10b": {
-    "name": "Qwen: Qwen3.5-122B-A10B",
+    "name": "Qwen3.5 122B-A10B",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
@@ -42059,39 +44685,43 @@
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
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-      "output": 2.4
+      "input": 0.3,
+      "output": 1.8,
+      "cache_write": 0.375
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   },
   "kilo/qwen/qwen-plus-2025-07-28": {
     "name": "Qwen: Qwen Plus 0728",
     "context": 1000000,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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       "output": 0.78
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   },
   "kilo/qwen/qwen3-next-80b-a3b-instruct": {
-    "name": "Qwen: Qwen3 Next 80B A3B Instruct",
-    "context": 131072,
+    "name": "Qwen3-Next 80B-A3B Instruct",
+    "context": 262144,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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-      "output": 1.1
+      "input": 0.0975,
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   },
   "kilo/qwen/qwen2.5-vl-72b-instruct": {
     "name": "Qwen: Qwen2.5 VL 72B Instruct",
-    "context": 32768,
+    "context": 32000,
+    "structured_output": true,
     "image": true,
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-      "output": 0.8,
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+      "input": 0.25,
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   },
   "kilo/stealth/claude-sonnet-4.6": {
@@ -42107,6 +44737,19 @@
       "cache_write": 3
     }
   },
+  "kilo/stealth/gpt-5.6-sol": {
+    "name": "Stealth: GPT-5.6 Sol (20% off)",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 24,
+      "cache_read": 0.4,
+      "cache_write": 5
+    }
+  },
   "kilo/stealth/claude-opus-4.7": {
     "name": "Stealth: Claude Opus 4.7 (20% off)",
     "context": 1000000,
@@ -42120,6 +44763,32 @@
       "cache_write": 5
     }
   },
+  "kilo/stealth/claude-opus-4.8": {
+    "name": "Stealth: Claude Opus 4.8 (20% off)",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 20,
+      "cache_read": 0.4,
+      "cache_write": 5
+    }
+  },
+  "kilo/stealth/qwen3.6-plus": {
+    "name": "Stealth: Qwen3.6 Plus (50% off)",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 0.25,
+      "output": 1.5,
+      "cache_read": 0.025,
+      "cache_write": 0.3125
+    }
+  },
   "kilo/stealth/claude-opus-4.6": {
     "name": "Stealth: Claude Opus 4.6 (20% off)",
     "context": 1000000,
@@ -42138,6 +44807,7 @@
     "context": 128000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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       "output": 0.75,
@@ -42148,6 +44818,7 @@
     "name": "Reka Edge",
     "context": 16384,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
@@ -42159,6 +44830,7 @@
     "name": "Reka Flash 3",
     "context": 65536,
     "reasoning": true,
+    "structured_output": true,
     "cost": {
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       "output": 0.2
@@ -42168,20 +44840,44 @@
     "name": "Tencent: Hunyuan A13B Instruct",
     "context": 131072,
     "reasoning": true,
+    "structured_output": true,
     "cost": {
       "input": 0.14,
       "output": 0.57
     }
   },
+  "kilo/tencent/hy3": {
+    "name": "Hy3",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
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+      "output": 0.58,
+      "cache_read": 0.035
+    }
+  },
   "kilo/tencent/hy3-preview": {
-    "name": "Tencent: Hy3 Preview",
+    "name": "Hy3 preview",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
     "cost": {
-      "input": 0.066,
-      "output": 0.26,
-      "cache_read": 0.029
+      "input": 0.18,
+      "output": 0.6,
+      "cache_read": 0.06
+    }
+  },
+  "kilo/tencent/hy3:free": {
+    "name": "Tencent: Hy3 (free)",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
+      "input": 0,
+      "output": 0,
+      "cache_read": 0
     }
   },
   "kilo/upstage/solar-pro-3": {
@@ -42189,130 +44885,132 @@
     "context": 128000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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-      "output": 0.6
+      "output": 0.6,
+      "cache_read": 0.015
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   },
-  "kilo/prime-intellect/intellect-3": {
-    "name": "Prime Intellect: INTELLECT-3",
-    "context": 131072,
+  "kilo/~x-ai/grok-latest": {
+    "name": "xAI: Grok Latest",
+    "context": 500000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
+    "image": true,
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-      "output": 1.1
+      "input": 2,
+      "output": 6,
+      "cache_read": 0.3
     }
   },
   "kilo/mistralai/mistral-large": {
     "name": "Mistral Large",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
       "input": 2,
-      "output": 6
+      "output": 6,
+      "cache_read": 0.2
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   },
   "kilo/mistralai/ministral-8b-2512": {
     "name": "Mistral: Ministral 3 8B 2512",
     "context": 262144,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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   },
   "kilo/mistralai/ministral-14b-2512": {
     "name": "Mistral: Ministral 3 14B 2512",
     "context": 262144,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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+      "output": 0.2,
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   "kilo/mistralai/ministral-3b-2512": {
     "name": "Mistral: Ministral 3 3B 2512",
     "context": 131072,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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   },
   "kilo/mistralai/mistral-small-24b-instruct-2501": {
     "name": "Mistral: Mistral Small 3",
     "context": 32768,
-    "tool_call": true,
+    "structured_output": true,
     "cost": {
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       "output": 0.08
     }
   },
-  "kilo/mistralai/mistral-large-2411": {
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-    "context": 131072,
-    "tool_call": true,
-    "cost": {
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-      "output": 6
-    }
-  },
   "kilo/mistralai/mistral-large-2407": {
     "name": "Mistral Large 2407",
     "context": 131072,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
       "input": 2,
-      "output": 6
+      "output": 6,
+      "cache_read": 0.2
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   },
   "kilo/mistralai/mistral-medium-3.1": {
     "name": "Mistral: Mistral Medium 3.1",
     "context": 131072,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 0.4,
-      "output": 2
-    }
-  },
-  "kilo/mistralai/pixtral-large-2411": {
-    "name": "Mistral: Pixtral Large 2411",
-    "context": 131072,
-    "tool_call": true,
-    "image": true,
-    "cost": {
-      "input": 2,
-      "output": 6
+      "output": 2,
+      "cache_read": 0.04
     }
   },
   "kilo/mistralai/mistral-nemo": {
-    "name": "Mistral: Mistral Nemo",
+    "name": "Mistral Nemo",
     "context": 131072,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.02,
-      "output": 0.04
+      "input": 0.019,
+      "output": 0.03
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   },
   "kilo/mistralai/mistral-saba": {
     "name": "Mistral: Saba",
     "context": 32768,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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-      "output": 0.6
+      "output": 0.6,
+      "cache_read": 0.02
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   },
   "kilo/mistralai/mistral-small-2603": {
-    "name": "Mistral: Mistral Small 4",
+    "name": "Mistral Small 4",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -42324,64 +45022,44 @@
     "name": "Mistral: Codestral 2508",
     "context": 256000,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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-      "output": 0.9
+      "output": 0.9,
+      "cache_read": 0.03
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   },
   "kilo/mistralai/mixtral-8x22b-instruct": {
     "name": "Mistral: Mixtral 8x22B Instruct",
     "context": 65536,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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-      "output": 6
-    }
-  },
-  "kilo/mistralai/mistral-7b-instruct-v0.1": {
-    "name": "Mistral: Mistral 7B Instruct v0.1",
-    "context": 2824,
-    "cost": {
-      "input": 0.11,
-      "output": 0.19
+      "output": 6,
+      "cache_read": 0.2
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   },
   "kilo/mistralai/voxtral-small-24b-2507": {
     "name": "Mistral: Voxtral Small 24B 2507",
     "context": 32000,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
       "input": 0.1,
-      "output": 0.3
-    }
-  },
-  "kilo/mistralai/devstral-medium": {
-    "name": "Mistral: Devstral Medium",
-    "context": 131072,
-    "tool_call": true,
-    "cost": {
-      "input": 0.4,
-      "output": 2
+      "output": 0.3,
+      "cache_read": 0.01
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   },
   "kilo/mistralai/mistral-small-3.2-24b-instruct": {
     "name": "Mistral: Mistral Small 3.2 24B",
-    "context": 131072,
+    "context": 256000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 0.18,
-      "cache_read": 0.03
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-  },
-  "kilo/mistralai/devstral-small": {
-    "name": "Mistral: Devstral Small 1.1",
-    "context": 131072,
-    "tool_call": true,
-    "cost": {
-      "input": 0.1,
-      "output": 0.3
+      "input": 0.09375,
+      "output": 0.25
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   },
   "kilo/mistralai/mistral-medium-3-5": {
@@ -42396,77 +45074,89 @@
       "output": 7.5
     }
   },
-  "kilo/mistralai/devstral-2512": {
-    "name": "Mistral: Devstral 2 2512",
-    "context": 262144,
-    "tool_call": true,
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   "kilo/mistralai/mistral-small-3.1-24b-instruct": {
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     "context": 128000,
     "image": true,
     "cost": {
-      "input": 0.35,
-      "output": 0.56,
-      "cache_read": 0.015
+      "input": 0.351,
+      "output": 0.555
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   },
   "kilo/mistralai/mistral-medium-3": {
     "name": "Mistral: Mistral Medium 3",
     "context": 131072,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 2
+      "output": 2,
+      "cache_read": 0.04
     }
   },
   "kilo/mistralai/mistral-large-2512": {
-    "name": "Mistral: Mistral Large 3 2512",
+    "name": "Mistral Large 3",
     "context": 262144,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 0.5,
-      "output": 1.5
+      "output": 1.5,
+      "cache_read": 0.05
     }
   },
   "kilo/bytedance/ui-tars-1.5-7b": {
     "name": "ByteDance: UI-TARS 7B ",
     "context": 128000,
+    "structured_output": true,
     "image": true,
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-      "output": 0.2
+      "output": 0.2,
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   },
-  "kilo/nex-agi/deepseek-v3.1-nex-n1": {
-    "name": "Nex AGI: DeepSeek V3.1 Nex N1",
-    "context": 131072,
+  "kilo/nex-agi/nex-n2-mini": {
+    "name": "Nex AGI: Nex-N2-Mini",
+    "context": 262144,
+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
+    "image": true,
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-      "output": 1
+      "input": 0.025,
+      "output": 0.1,
+      "cache_read": 0.0025
+    }
+  },
+  "kilo/nex-agi/nex-n2-pro": {
+    "name": "Nex AGI: Nex-N2-Pro",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
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@@ -42475,67 +45165,71 @@
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@@ -42543,24 +45237,55 @@
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@@ -42573,14 +45298,16 @@
   "kilo/mancer/weaver": {
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@@ -42597,22 +45324,16 @@
   "kilo/nousresearch/hermes-3-llama-3.1-70b": {
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@@ -42633,12 +45354,33 @@
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@@ -42647,8 +45389,8 @@
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-    "name": "Poolside: Laguna XS.2 (free)",
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@@ -42662,14 +45404,16 @@
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     "reasoning": true,
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@@ -42677,10 +45421,11 @@
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     "video": true,
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@@ -42700,25 +45445,26 @@
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@@ -42731,13 +45477,13 @@
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@@ -42746,54 +45492,14 @@
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-  "kilo/deepseek/deepseek-v4-pro": {
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+  "kilo/deepseek/deepseek-v4-pro:discounted": {
+    "name": "DeepSeek: DeepSeek V4 Pro (lowest price)",
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@@ -42803,15 +45509,72 @@
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   "kilo/deepseek/deepseek-r1-0528": {
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@@ -42819,60 +45582,67 @@
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   "kilo/deepseek/deepseek-r1": {
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+    "name": "DeepSeek-R1",
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   "kilo/deepseek/deepseek-chat": {
-    "name": "DeepSeek: DeepSeek V3",
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+    "name": "DeepSeek Chat",
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   "kilo/deepseek/deepseek-v3.1-terminus": {
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   "kilo/amazon/nova-premier-v1": {
@@ -42882,7 +45652,8 @@
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   "kilo/amazon/nova-2-lite-v1": {
@@ -42927,15 +45698,16 @@
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   "kilo/~moonshotai/kimi-latest": {
-    "name": "MoonshotAI: Kimi Latest",
-    "context": 262142,
+    "name": "MoonshotAI Kimi Latest",
+    "context": 1048576,
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   "kilo/ibm-granite/granite-4.0-h-micro": {
@@ -42943,13 +45715,14 @@
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   "kilo/ibm-granite/granite-4.1-8b": {
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@@ -42957,21 +45730,10 @@
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   "kilo/x-ai/grok-4.20-multi-agent": {
-    "name": "xAI: Grok 4.20 Multi-Agent",
+    "name": "SpaceXAI: Grok 4.20 Multi-Agent",
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-    "reasoning": true,
-    "tool_call": true,
+    "structured_output": true,
     "image": true,
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@@ -42979,11 +45741,38 @@
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+  "kilo/x-ai/grok-4.3": {
+    "name": "Grok 4.3",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+  "kilo/x-ai/grok-4.5": {
+    "name": "Grok 4.5",
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+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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   "kilo/x-ai/grok-build-0.1": {
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+    "name": "Grok Build 0.1",
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     "reasoning": true,
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+    "structured_output": true,
     "image": true,
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@@ -42992,14 +45781,15 @@
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   "kilo/x-ai/grok-4.20": {
-    "name": "xAI: Grok 4.20",
+    "name": "SpaceXAI: Grok 4.20",
     "context": 2000000,
     "reasoning": true,
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@@ -43007,16 +45797,40 @@
     "name": "Kwaipilot: KAT-Coder-Pro V2",
     "context": 256000,
     "tool_call": true,
+    "structured_output": true,
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+  "kilo/kwaipilot/kat-coder-pro-v2.5": {
+    "name": "Kwaipilot: KAT-Coder-Pro V2.5",
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+  "kilo/kwaipilot/kat-coder-air-v2.5": {
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+    "context": 256000,
+    "tool_call": true,
+    "structured_output": true,
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+      "output": 0.6,
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   "kilo/sao10k/l3.1-euryale-70b": {
     "name": "Sao10K: Llama 3.1 Euryale 70B v2.2",
     "context": 131072,
     "tool_call": true,
+    "structured_output": true,
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       "output": 0.85
@@ -43025,6 +45839,7 @@
   "kilo/sao10k/l3.3-euryale-70b": {
     "name": "Sao10K: Llama 3.3 Euryale 70B",
     "context": 131072,
+    "structured_output": true,
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       "output": 0.75
@@ -43033,28 +45848,12 @@
   "kilo/sao10k/l3-lunaris-8b": {
     "name": "Sao10K: Llama 3 8B Lunaris",
     "context": 8192,
+    "structured_output": true,
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-  "kilo/sao10k/l3-euryale-70b": {
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-      "output": 3
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   "kilo/openrouter/pareto-code": {
     "name": "Pareto Code Router",
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@@ -43063,17 +45862,6 @@
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-  "kilo/openrouter/owl-alpha": {
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   "kilo/openrouter/bodybuilder": {
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     "context": 128000,
@@ -43083,10 +45871,11 @@
     }
   },
   "kilo/openrouter/free": {
-    "name": "Free Models Router",
+    "name": "OpenRouter Free Models Router",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -43105,31 +45894,26 @@
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   "kilo/aion-labs/aion-2.0": {
     "name": "AionLabs: Aion-2.0",
     "context": 131072,
     "reasoning": true,
+    "tool_call": true,
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-  "kilo/aion-labs/aion-1.0": {
-    "name": "AionLabs: Aion-1.0",
+  "kilo/aion-labs/aion-3.0-mini": {
+    "name": "AionLabs: Aion-3.0-Mini",
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     "reasoning": true,
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   "kilo/aion-labs/aion-rp-llama-3.1-8b": {
@@ -43140,79 +45924,41 @@
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-      "output": 10
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-  "kilo/inflection/inflection-3-productivity": {
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-      "output": 10
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-  "kilo/xiaomi/mimo-v2-omni": {
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-    "tool_call": true,
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-    }
-  },
-  "kilo/xiaomi/mimo-v2-flash": {
-    "name": "Xiaomi: MiMo-V2-Flash",
-    "context": 262144,
+  "kilo/aion-labs/aion-3.0": {
+    "name": "AionLabs: Aion-3.0",
+    "context": 131072,
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-      "output": 0.29,
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-    "reasoning": true,
-    "tool_call": true,
-    "cost": {
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-      "output": 3,
-      "cache_read": 0.2
+      "input": 3,
+      "output": 6,
+      "cache_read": 0.75
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   },
   "kilo/xiaomi/mimo-v2.5": {
-    "name": "Xiaomi: MiMo-V2.5",
+    "name": "MiMo-V2.5",
     "context": 1048576,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
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-      "cache_read": 0.08
+      "input": 0.14,
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+      "cache_read": 0.003
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   },
   "kilo/xiaomi/mimo-v2.5-pro": {
-    "name": "Xiaomi: MiMo V2.5 Pro",
+    "name": "MiMo-V2.5-Pro",
     "context": 1048576,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "cache_read": 0.2
+      "input": 0.435,
+      "output": 0.87,
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   "kilo/writer/palmyra-x5": {
@@ -43224,21 +45970,53 @@
     }
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   "kilo/anthropic/claude-sonnet-4.6": {
-    "name": "Anthropic: Claude Sonnet 4.6",
+    "name": "Claude Sonnet 4.6",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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+      "cache_read": 0.3,
+      "cache_write": 3.75
+    }
+  },
+  "kilo/anthropic/claude-fable-5": {
+    "name": "Claude Fable 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 50,
+      "cache_read": 1,
+      "cache_write": 12.5
+    }
+  },
+  "kilo/anthropic/claude-opus-4.8-fast": {
+    "name": "Claude Opus 4.8",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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+      "cache_read": 1,
+      "cache_write": 12.5
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   },
   "kilo/anthropic/claude-opus-4.1": {
-    "name": "Anthropic: Claude Opus 4.1",
+    "name": "Claude Opus 4.1 (latest)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -43248,10 +46026,11 @@
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   "kilo/anthropic/claude-opus-4.5": {
-    "name": "Anthropic: Claude Opus 4.5",
+    "name": "Claude Opus 4.5 (latest)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -43260,23 +46039,12 @@
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-  "kilo/anthropic/claude-3.5-haiku": {
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-  },
   "kilo/anthropic/claude-opus-4.7": {
-    "name": "Anthropic: Claude Opus 4.7",
+    "name": "Claude Opus 4.7",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 5,
@@ -43286,10 +46054,11 @@
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   "kilo/anthropic/claude-sonnet-4.5": {
-    "name": "Anthropic: Claude Sonnet 4.5",
+    "name": "Claude Sonnet 4.5 (latest)",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -43310,17 +46079,18 @@
       "cache_write": 0.3
     }
   },
-  "kilo/anthropic/claude-opus-4.6-fast": {
-    "name": "Anthropic: Claude Opus 4.6 (Fast)",
+  "kilo/anthropic/claude-opus-5-fast": {
+    "name": "Claude Opus 5",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 150,
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+      "input": 10,
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   },
   "kilo/anthropic/claude-sonnet-4": {
@@ -43337,10 +46107,11 @@
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   "kilo/anthropic/claude-haiku-4.5": {
-    "name": "Anthropic: Claude Haiku 4.5",
+    "name": "Claude Haiku 4.5 (latest)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1,
@@ -43350,7 +46121,7 @@
     }
   },
   "kilo/anthropic/claude-opus-4": {
-    "name": "Anthropic: Claude Opus 4",
+    "name": "Anthropic: Claude Opus 4 ($$$$)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
@@ -43362,11 +46133,54 @@
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     }
   },
-  "kilo/anthropic/claude-opus-4.6": {
-    "name": "Anthropic: Claude Opus 4.6",
+  "kilo/anthropic/claude-opus-4.8": {
+    "name": "Claude Opus 4.8",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 25,
+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "kilo/anthropic/claude-sonnet-5": {
+    "name": "Claude Sonnet 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 10,
+      "cache_read": 0.2,
+      "cache_write": 2.5
+    }
+  },
+  "kilo/anthropic/claude-opus-5": {
+    "name": "Claude Opus 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 25,
+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
+  "kilo/anthropic/claude-opus-4.6": {
+    "name": "Claude Opus 4.6",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 5,
@@ -43376,10 +46190,11 @@
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   "kilo/anthropic/claude-opus-4.7-fast": {
-    "name": "Anthropic: Claude Opus 4.7 (Fast)",
+    "name": "Claude Opus 4.7",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -43388,25 +46203,18 @@
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-  "kilo/liquid/lfm-2-24b-a2b": {
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-      "output": 0.12
-    }
-  },
   "kilo/~anthropic/claude-sonnet-latest": {
-    "name": "Anthropic: Claude Sonnet Latest",
+    "name": "Anthropic Claude Sonnet Latest",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 15,
-      "cache_read": 0.3,
-      "cache_write": 3.75
+      "input": 2,
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+      "cache_read": 0.2,
+      "cache_write": 2.5
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   "kilo/~anthropic/claude-opus-latest": {
@@ -43414,6 +46222,7 @@
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 5,
@@ -43423,10 +46232,11 @@
     }
   },
   "kilo/~anthropic/claude-haiku-latest": {
-    "name": "Anthropic: Claude Haiku Latest",
+    "name": "Anthropic Claude Haiku Latest",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1,
@@ -43435,8 +46245,22 @@
       "cache_write": 1.25
     }
   },
+  "kilo/~anthropic/claude-fable-latest": {
+    "name": "Anthropic: Claude Fable Latest ($$$$)",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 50,
+      "cache_read": 1,
+      "cache_write": 12.5
+    }
+  },
   "kilo/z-ai/glm-4.6v": {
-    "name": "Z.ai: GLM 4.6V",
+    "name": "GLM-4.6V",
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
@@ -43444,21 +46268,24 @@
     "video": true,
     "cost": {
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-      "output": 0.9
+      "output": 0.9,
+      "cache_read": 0.055
     }
   },
   "kilo/z-ai/glm-5": {
-    "name": "Z.ai: GLM 5",
-    "context": 202752,
+    "name": "GLM-5",
+    "context": 204800,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 2.3
+      "input": 1,
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+      "cache_read": 0.2
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   },
   "kilo/z-ai/glm-4.5-air": {
-    "name": "Z.ai: GLM 4.5 Air",
+    "name": "GLM-4.5-Air",
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
@@ -43469,50 +46296,66 @@
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   "kilo/z-ai/glm-5.1": {
-    "name": "Z.ai: GLM 5.1",
-    "context": 202752,
+    "name": "GLM-5.1",
+    "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 3.96
+      "input": 1.38,
+      "output": 4.4,
+      "cache_read": 0.26
     }
   },
   "kilo/z-ai/glm-4.7-flash": {
-    "name": "Z.ai: GLM 4.7 Flash",
+    "name": "GLM-4.7-Flash",
     "context": 202752,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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   },
-  "kilo/z-ai/glm-4.6": {
-    "name": "Z.ai: GLM 4.6",
-    "context": 204800,
+  "kilo/z-ai/glm-5.2": {
+    "name": "GLM-5.2",
+    "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 1.9,
-      "cache_read": 0.175
+      "input": 1.4,
+      "output": 4.4,
+      "cache_read": 0.26
+    }
+  },
+  "kilo/z-ai/glm-4.6": {
+    "name": "GLM-4.6",
+    "context": 202752,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
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+      "cache_read": 0.11
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   },
   "kilo/z-ai/glm-4.5": {
-    "name": "Z.ai: GLM 4.5",
+    "name": "GLM-4.5",
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
     "cost": {
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       "output": 2.2,
-      "cache_read": 0.175
+      "cache_read": 0.11
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   },
   "kilo/z-ai/glm-4.5v": {
-    "name": "Z.ai: GLM 4.5V",
+    "name": "GLM-4.5V",
     "context": 65536,
     "reasoning": true,
     "tool_call": true,
@@ -43524,27 +46367,19 @@
     }
   },
   "kilo/z-ai/glm-4.7": {
-    "name": "Z.ai: GLM 4.7",
+    "name": "GLM-4.7",
     "context": 202752,
     "reasoning": true,
     "tool_call": true,
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-  "kilo/z-ai/glm-4-32b": {
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-    "context": 128000,
-    "tool_call": true,
-    "cost": {
-      "input": 0.1,
-      "output": 0.1
+      "input": 0.6,
+      "output": 2.2,
+      "cache_read": 0.11
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   },
   "kilo/z-ai/glm-5-turbo": {
-    "name": "Z.ai: GLM 5 Turbo",
+    "name": "GLM-5-Turbo",
     "context": 202752,
     "reasoning": true,
     "tool_call": true,
@@ -43555,7 +46390,7 @@
     }
   },
   "kilo/z-ai/glm-5v-turbo": {
-    "name": "Z.ai: GLM 5V Turbo",
+    "name": "GLM-5V-Turbo",
     "context": 202752,
     "reasoning": true,
     "tool_call": true,
@@ -43567,19 +46402,11 @@
       "cache_read": 0.24
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-  "kilo/switchpoint/router": {
-    "name": "Switchpoint Router",
-    "context": 131072,
-    "reasoning": true,
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-      "output": 3.4
-    }
-  },
   "kilo/perplexity/sonar-pro-search": {
     "name": "Perplexity: Sonar Pro Search",
     "context": 200000,
     "reasoning": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 3,
@@ -43624,75 +46451,104 @@
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   "kilo/moonshotai/kimi-k2.5": {
-    "name": "MoonshotAI: Kimi K2.5",
-    "context": 262144,
-    "reasoning": true,
-    "tool_call": true,
-    "image": true,
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-      "output": 2.2
-    }
-  },
-  "kilo/moonshotai/kimi-k2.6": {
-    "name": "MoonshotAI: Kimi K2.6",
+    "name": "Kimi K2.5",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 3.5,
-      "cache_read": 0.375
+      "input": 0.6,
+      "output": 3,
+      "cache_read": 0.1
+    }
+  },
+  "kilo/moonshotai/kimi-k2.6": {
+    "name": "Kimi K2.6",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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   "kilo/moonshotai/kimi-k2-thinking": {
-    "name": "MoonshotAI: Kimi K2 Thinking",
-    "context": 131072,
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   "kilo/moonshotai/kimi-k2-0905": {
     "name": "MoonshotAI: Kimi K2 0905",
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   "kilo/openai/gpt-5.1-codex-mini": {
-    "name": "OpenAI: GPT-5.1-Codex-Mini",
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@@ -43703,10 +46559,11 @@
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   "kilo/openai/gpt-5.2-pro": {
-    "name": "OpenAI: GPT-5.2 Pro",
+    "name": "GPT-5.2 Pro",
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     "reasoning": true,
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@@ -43714,10 +46571,11 @@
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-    "name": "OpenAI: GPT-5.5 Pro",
+    "name": "GPT-5.5 Pro",
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     "reasoning": true,
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@@ -43725,9 +46583,10 @@
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-    "name": "OpenAI: GPT-4.1 Mini",
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@@ -43736,9 +46595,10 @@
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-    "name": "OpenAI: GPT-4o",
+    "name": "GPT-4o",
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     "tool_call": true,
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@@ -43746,21 +46606,12 @@
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-    "name": "OpenAI: GPT-5.4 Pro",
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     "context": 1050000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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@@ -43770,15 +46621,33 @@
   "kilo/openai/gpt-audio-mini": {
     "name": "OpenAI: GPT Audio Mini",
     "context": 128000,
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+    "structured_output": true,
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       "output": 2.4
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+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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   "kilo/openai/o3-mini-high": {
     "name": "OpenAI: o3 Mini High",
     "context": 200000,
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+    "structured_output": true,
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       "output": 4.4,
@@ -43789,16 +46658,19 @@
     "name": "OpenAI: GPT-4o-mini (2024-07-18)",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
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   "kilo/openai/gpt-4.1-nano": {
-    "name": "OpenAI: GPT-4.1 Nano",
+    "name": "GPT-4.1 nano",
     "context": 1047576,
     "tool_call": true,
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     "image": true,
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@@ -43807,13 +46679,15 @@
     }
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   "kilo/openai/gpt-oss-20b": {
-    "name": "OpenAI: gpt-oss-20b",
+    "name": "GPT OSS 20B",
     "context": 131072,
     "reasoning": true,
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@@ -43821,27 +46695,45 @@
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
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   "kilo/openai/o3-mini": {
-    "name": "OpenAI: o3 Mini",
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-  "kilo/openai/gpt-5.5": {
-    "name": "OpenAI: GPT-5.5",
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     "context": 1050000,
     "reasoning": true,
     "tool_call": true,
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+    "structured_output": true,
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@@ -43853,16 +46745,18 @@
     "name": "OpenAI: GPT-3.5 Turbo (older v0613)",
     "context": 4095,
     "tool_call": true,
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   "kilo/openai/o3-pro": {
-    "name": "OpenAI: o3 Pro",
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     "reasoning": true,
     "tool_call": true,
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     "image": true,
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@@ -43870,9 +46764,10 @@
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   "kilo/openai/gpt-4o-mini": {
-    "name": "OpenAI: GPT-4o-mini",
+    "name": "GPT-4o mini",
     "context": 128000,
     "tool_call": true,
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     "image": true,
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@@ -43881,10 +46776,11 @@
     }
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   "kilo/openai/gpt-5": {
-    "name": "OpenAI: GPT-5",
+    "name": "GPT-5",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
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@@ -43895,82 +46791,41 @@
   "kilo/openai/gpt-audio": {
     "name": "OpenAI: GPT Audio",
     "context": 128000,
+    "tool_call": true,
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       "output": 10
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   "kilo/openai/o4-mini-high": {
     "name": "OpenAI: o4 Mini High",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 4.4
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-    "image": true,
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-      "output": 10,
-      "cache_read": 0.125
+      "output": 4.4,
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   "kilo/openai/gpt-3.5-turbo": {
-    "name": "OpenAI: GPT-3.5 Turbo",
+    "name": "GPT-3.5-turbo",
     "context": 16385,
     "tool_call": true,
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       "output": 1.5
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   "kilo/openai/gpt-4o-2024-05-13": {
-    "name": "OpenAI: GPT-4o (2024-05-13)",
+    "name": "GPT-4o (2024-05-13)",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -43978,9 +46833,10 @@
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   "kilo/openai/gpt-4o-2024-11-20": {
-    "name": "OpenAI: GPT-4o (2024-11-20)",
+    "name": "GPT-4o (2024-11-20)",
     "context": 128000,
     "tool_call": true,
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     "image": true,
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@@ -43988,29 +46844,38 @@
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-      "output": 10
-    }
-  },
   "kilo/openai/gpt-5.4": {
-    "name": "OpenAI: GPT-5.4",
+    "name": "GPT-5.4",
     "context": 1050000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 2.5,
-      "output": 15
+      "output": 15,
+      "cache_read": 0.25
+    }
+  },
+  "kilo/openai/gpt-5.6-luna-pro": {
+    "name": "GPT-5.6 Luna",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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   "kilo/openai/gpt-5.2-chat": {
-    "name": "OpenAI: GPT-5.2 Chat",
+    "name": "OpenAI: GPT-5.2 Chat (retires Aug 10)",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1.75,
@@ -44019,10 +46884,11 @@
     }
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   "kilo/openai/gpt-5.2-codex": {
-    "name": "OpenAI: GPT-5.2-Codex",
+    "name": "GPT-5.2 Codex",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -44030,20 +46896,12 @@
       "cache_read": 0.175
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-    }
-  },
   "kilo/openai/gpt-5.4-nano": {
-    "name": "OpenAI: GPT-5.4 Nano",
+    "name": "GPT-5.4 nano",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 0.2,
@@ -44052,10 +46910,11 @@
     }
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   "kilo/openai/gpt-5-pro": {
-    "name": "OpenAI: GPT-5 Pro",
+    "name": "GPT-5 Pro",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -44063,10 +46922,11 @@
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   "kilo/openai/gpt-5.4-mini": {
-    "name": "OpenAI: GPT-5.4 Mini",
+    "name": "GPT-5.4 mini",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
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     "image": true,
     "cost": {
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@@ -44075,28 +46935,33 @@
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   "kilo/openai/gpt-oss-120b": {
-    "name": "OpenAI: gpt-oss-120b",
+    "name": "GPT OSS 120B",
     "context": 131072,
     "reasoning": true,
     "tool_call": true,
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     "name": "OpenAI: GPT-3.5 Turbo 16k",
     "context": 16385,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
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       "output": 4
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   },
   "kilo/openai/o1": {
-    "name": "OpenAI: o1",
+    "name": "o1",
     "context": 200000,
+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -44104,11 +46969,26 @@
       "cache_read": 7.5
     }
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+  "kilo/openai/gpt-5.6-luna": {
+    "name": "GPT-5.6 Luna",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 1.2,
+      "cache_read": 0.02,
+      "cache_write": 0.25
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   "kilo/openai/gpt-5.2": {
-    "name": "OpenAI: GPT-5.2",
+    "name": "GPT-5.2",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1.75,
@@ -44117,21 +46997,24 @@
     }
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   "kilo/openai/gpt-5.3-codex": {
-    "name": "OpenAI: GPT-5.3-Codex",
+    "name": "GPT-5.3 Codex",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1.75,
-      "output": 14
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+      "cache_read": 0.175
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   "kilo/openai/gpt-5-mini": {
-    "name": "OpenAI: GPT-5 Mini",
+    "name": "GPT-5 Mini",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 0.25,
@@ -44140,19 +47023,22 @@
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   "kilo/openai/gpt-5.3-chat": {
-    "name": "OpenAI: GPT-5.3 Chat",
+    "name": "OpenAI: GPT-5.3 Chat (retires Aug 10)",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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-      "output": 14
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   },
   "kilo/openai/o1-pro": {
-    "name": "OpenAI: o1-pro",
+    "name": "o1-pro",
     "context": 200000,
     "reasoning": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 150,
@@ -44160,21 +47046,23 @@
     }
   },
   "kilo/openai/gpt-5-image": {
-    "name": "OpenAI: GPT-5 Image",
+    "name": "OpenAI: GPT-5 Image ($$$$)",
     "context": 400000,
     "reasoning": true,
-    "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 10,
-      "output": 10
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+      "cache_read": 1.25
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   },
   "kilo/openai/gpt-5.1": {
-    "name": "OpenAI: GPT-5.1",
+    "name": "GPT-5.1",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1.25,
@@ -44183,18 +47071,20 @@
     }
   },
   "kilo/openai/gpt-4-turbo-preview": {
-    "name": "OpenAI: GPT-4 Turbo Preview",
+    "name": "OpenAI: GPT-4 Turbo Preview ($$$$)",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
       "input": 10,
       "output": 30
     }
   },
   "kilo/openai/gpt-4-turbo": {
-    "name": "OpenAI: GPT-4 Turbo",
+    "name": "GPT-4 Turbo",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 10,
@@ -44202,9 +47092,10 @@
     }
   },
   "kilo/openai/gpt-4o-2024-08-06": {
-    "name": "OpenAI: GPT-4o (2024-08-06)",
+    "name": "GPT-4o (2024-08-06)",
     "context": 128000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 2.5,
@@ -44216,6 +47107,7 @@
     "name": "OpenAI: GPT-5.4 Image 2",
     "context": 272000,
     "reasoning": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 8,
@@ -44224,22 +47116,24 @@
     }
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   "kilo/openai/gpt-5.1-codex": {
-    "name": "OpenAI: GPT-5.1-Codex",
+    "name": "GPT-5.1 Codex",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
       "input": 1.25,
       "output": 10,
-      "cache_read": 0.125
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   "kilo/openai/gpt-5-nano": {
-    "name": "OpenAI: GPT-5 Nano",
+    "name": "GPT-5 Nano",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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@@ -44247,19 +47141,12 @@
       "cache_read": 0.005
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-  "kilo/openai/gpt-4o-mini-search-preview": {
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-      "output": 0.6
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   "kilo/openai/o3": {
-    "name": "OpenAI: o3",
+    "name": "o3",
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     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -44270,26 +47157,57 @@
   "kilo/openai/gpt-3.5-turbo-instruct": {
     "name": "OpenAI: GPT-3.5 Turbo Instruct",
     "context": 4095,
+    "structured_output": true,
     "cost": {
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       "output": 2
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   },
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+    "name": "GPT-5.6 Terra",
+    "context": 1050000,
+    "reasoning": true,
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   "kilo/openai/gpt-5-image-mini": {
     "name": "OpenAI: GPT-5 Image Mini",
     "context": 400000,
     "reasoning": true,
-    "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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+    "name": "GPT-5.6 Terra",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
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   "kilo/openai/gpt-4.1": {
-    "name": "OpenAI: GPT-4.1",
+    "name": "GPT-4.1",
     "context": 1047576,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -44298,10 +47216,11 @@
     }
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   "kilo/openai/o4-mini": {
-    "name": "OpenAI: o4 Mini",
+    "name": "o4-mini",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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@@ -44309,20 +47228,12 @@
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   "kilo/openai/gpt-5.1-codex-max": {
-    "name": "OpenAI: GPT-5.1-Codex-Max",
+    "name": "GPT-5.1 Codex Max",
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
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@@ -44331,32 +47242,15 @@
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   "kilo/openai/gpt-4": {
-    "name": "OpenAI: GPT-4",
+    "name": "GPT-4",
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   "kilo/baidu/ernie-4.5-vl-424b-a47b": {
     "name": "Baidu: ERNIE 4.5 VL 424B A47B ",
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@@ -44367,57 +47261,11 @@
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     "tool_call": true,
+    "structured_output": true,
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@@ -44432,35 +47280,19 @@
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   "kilo/meta-llama/llama-3.3-70b-instruct": {
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+    "name": "Llama-3.3-70B-Instruct",
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@@ -44470,64 +47302,41 @@
     "name": "Meta: Llama 4 Maverick",
     "context": 1048576,
     "tool_call": true,
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     "image": true,
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   "kilo/meta-llama/llama-4-scout": {
     "name": "Meta: Llama 4 Scout",
     "context": 327680,
     "tool_call": true,
+    "structured_output": true,
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   "kilo/meta-llama/llama-3.2-3b-instruct": {
     "name": "Meta: Llama 3.2 3B Instruct",
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-      "output": 0.15
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   "kilo/arcee-ai/virtuoso-large": {
@@ -44539,39 +47348,16 @@
       "output": 1.2
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     "context": 262144,
     "reasoning": true,
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   "kilo/bytedance-seed/seed-1.6": {
@@ -44579,6 +47365,7 @@
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
@@ -44591,6 +47378,7 @@
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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     "video": true,
     "cost": {
@@ -44603,6 +47391,7 @@
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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     "video": true,
     "cost": {
@@ -44615,6 +47404,7 @@
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "video": true,
     "cost": {
@@ -44623,61 +47413,108 @@
     }
   },
   "kilo/kilo-auto/balanced": {
-    "name": "Kilo Auto Balanced",
-    "context": 204800,
+    "name": "Auto Balanced",
+    "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "image": true,
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   "kilo/kilo-auto/small": {
-    "name": "Kilo Auto Small",
-    "context": 400000,
+    "name": "Auto Small",
+    "context": 262144,
     "reasoning": true,
     "tool_call": true,
     "image": true,
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   "kilo/kilo-auto/free": {
-    "name": "Kilo Auto Free",
-    "context": 204800,
+    "name": "Auto Free",
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     "reasoning": true,
     "tool_call": true,
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   "kilo/kilo-auto/frontier": {
-    "name": "Kilo Auto Frontier",
+    "name": "Auto Frontier",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
     "image": true,
     "cost": {
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-      "output": 25
+      "output": 25,
+      "cache_read": 0.5,
+      "cache_write": 6.25
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+  "kilo/kilo-auto/efficient": {
+    "name": "Auto Efficient",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 1.95,
+      "cache_read": 0.0325,
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+  },
+  "kilo/stepfun/step-3.7-flash:free": {
+    "name": "StepFun: Step 3.7 Flash (free)",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 0,
+      "cache_read": 0
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   },
   "kilo/stepfun/step-3.5-flash": {
-    "name": "StepFun: Step 3.5 Flash",
-    "context": 256000,
+    "name": "Step 3.5 Flash",
+    "context": 262144,
     "reasoning": true,
     "tool_call": true,
     "cost": {
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-      "output": 0.3,
-      "cache_read": 0.02
+      "output": 0.3
+    }
+  },
+  "kilo/stepfun/step-3.7-flash": {
+    "name": "Step 3.7 Flash",
+    "context": 256000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
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   },
   "kilo/anthracite-org/magnum-v4-72b": {
     "name": "Magnum v4 72B",
     "context": 16384,
+    "structured_output": true,
     "cost": {
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       "output": 5
@@ -44732,6 +47569,17 @@
       "output": 0.23
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   },
+  "merge-gateway/google/gemini-2.5-computer-use-preview-10-2025": {
+    "name": "Gemini 2.5 Computer Use Preview (10-2025)",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 10
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+  },
   "merge-gateway/google/gemini-flash-latest": {
     "name": "Gemini Flash Latest",
     "context": 1048576,
@@ -44772,6 +47620,20 @@
       "cache_read": 0.03
     }
   },
+  "merge-gateway/google/gemini-3.5-flash-lite": {
+    "name": "Gemini 3.5 Flash-Lite",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
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+      "output": 2.5,
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+  },
   "merge-gateway/google/gemini-3.1-flash-lite-preview": {
     "name": "Gemini 3.1 Flash Lite Preview",
     "context": 1048576,
@@ -44813,7 +47675,7 @@
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   },
   "merge-gateway/google/gemma-4-26b-a4b-it": {
-    "name": "Gemma 4 26B-A4B",
+    "name": "Gemma 4 26B A4B",
     "context": 262144,
     "reasoning": true,
     "cost": {
@@ -44829,6 +47691,20 @@
       "output": 0
     }
   },
+  "merge-gateway/google/gemini-3.6-flash": {
+    "name": "Gemini 3.6 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "video": true,
+    "cost": {
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+      "output": 7.5,
+      "cache_read": 0.15
+    }
+  },
   "merge-gateway/google/gemini-3.1-flash-lite": {
     "name": "Gemini 3.1 Flash-Lite",
     "context": 1048576,
@@ -44843,7 +47719,7 @@
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   "merge-gateway/google/gemma-4-31b-it": {
-    "name": "Gemma 4 31B IT",
+    "name": "Gemma 4 31B It",
     "context": 262144,
     "reasoning": true,
     "cost": {
@@ -44858,6 +47734,7 @@
     "tool_call": true,
     "structured_output": true,
     "image": true,
+    "video": true,
     "cost": {
       "input": 2,
       "output": 12,
@@ -44918,6 +47795,18 @@
       "cache_read": 0.01
     }
   },
+  "merge-gateway/thinkingmachines/inkling": {
+    "name": "Inkling",
+    "context": 1048000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
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+      "output": 4.05,
+      "cache_read": 0.17
+    }
+  },
   "merge-gateway/sakana/fugu-ultra": {
     "name": "Fugu Ultra",
     "context": 1000000,
@@ -44926,7 +47815,8 @@
     "image": true,
     "cost": {
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-      "output": 30
+      "output": 30,
+      "cache_read": 0.5
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   },
   "merge-gateway/qwen/qwen3-coder-480b-a35b-instruct": {
@@ -44941,8 +47831,8 @@
     "name": "Qwen3.7 Plus",
     "context": 1000000,
     "reasoning": true,
+    "tool_call": true,
     "image": true,
-    "video": true,
     "cost": {
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       "output": 1.6
@@ -44952,6 +47842,7 @@
     "name": "Qwen3-VL Plus",
     "context": 262144,
     "reasoning": true,
+    "tool_call": true,
     "image": true,
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@@ -44973,6 +47864,7 @@
     "name": "Qwen3.6 35B A3B",
     "context": 262144,
     "reasoning": true,
+    "tool_call": true,
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       "output": 1.485,
@@ -44983,6 +47875,7 @@
     "name": "Qwen3.5 Plus",
     "context": 1000000,
     "reasoning": true,
+    "tool_call": true,
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       "output": 0.688,
@@ -44991,9 +47884,9 @@
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   "merge-gateway/qwen/qwen3.5-27b": {
     "name": "Qwen3.5 27B",
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+    "context": 131072,
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       "output": 0.688,
@@ -45004,6 +47897,7 @@
     "name": "Qwen3.7 Max",
     "context": 1000000,
     "reasoning": true,
+    "tool_call": true,
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       "output": 2.4755,
@@ -45032,18 +47926,21 @@
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   "merge-gateway/qwen/qwen3.6-27b": {
     "name": "Qwen3.6 27B",
-    "context": 256000,
+    "context": 131072,
     "reasoning": true,
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+    "tool_call": true,
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   "merge-gateway/qwen/qwen3.5-35b-a3b": {
     "name": "Qwen3.5 35B A3B",
-    "context": 131072,
+    "context": 256000,
     "reasoning": true,
+    "tool_call": true,
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@@ -45054,6 +47951,7 @@
     "name": "Qwen3 235B A22B",
     "context": 131072,
     "reasoning": true,
+    "tool_call": true,
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       "output": 1.147,
@@ -45063,6 +47961,7 @@
   "merge-gateway/qwen/qwen3-max": {
     "name": "Qwen3 Max",
     "context": 262144,
+    "tool_call": true,
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       "output": 1.434,
@@ -45072,15 +47971,29 @@
   "merge-gateway/qwen/qwen3-coder-plus": {
     "name": "Qwen3 Coder Plus",
     "context": 1000000,
+    "tool_call": true,
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+    "name": "Qwen3.8 Max",
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+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
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+    }
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   "merge-gateway/qwen/qwen3-coder-flash": {
     "name": "Qwen3 Coder Flash",
     "context": 1000000,
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       "output": 0.574,
@@ -45091,6 +48004,7 @@
     "name": "Qwen Flash",
     "context": 1000000,
     "reasoning": true,
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@@ -45101,6 +48015,7 @@
     "name": "Qwen Plus",
     "context": 1000000,
     "reasoning": true,
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       "output": 0.287,
@@ -45111,6 +48026,7 @@
     "name": "Qwen3.6 Flash",
     "context": 1000000,
     "reasoning": true,
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@@ -45121,6 +48037,7 @@
     "name": "Qwen3.5 397B A17B",
     "context": 131072,
     "reasoning": true,
+    "tool_call": true,
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@@ -45131,6 +48048,7 @@
     "name": "Qwen3.6 Max Preview",
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     "reasoning": true,
+    "tool_call": true,
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       "output": 7.88
@@ -45140,6 +48058,7 @@
     "name": "Qwen3.6 Plus",
     "context": 1000000,
     "reasoning": true,
+    "tool_call": true,
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@@ -45147,9 +48066,11 @@
     }
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   "merge-gateway/qwen/qwen3.5-122b-a10b": {
-    "name": "Qwen3.5 122B-A10B",
-    "context": 131072,
+    "name": "Qwen3.5 122B A10B",
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+    "tool_call": true,
+    "image": true,
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@@ -45157,8 +48078,9 @@
     }
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   "merge-gateway/qwen/qwen3-next-80b-a3b-instruct": {
-    "name": "Qwen3 Next 80B A3B Instruct",
+    "name": "Qwen3-Next 80B-A3B Instruct",
     "context": 131072,
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       "output": 0.574,
@@ -45259,6 +48181,19 @@
       "cache_read": 0.19
     }
   },
+  "merge-gateway/moonshot/kimi-k3": {
+    "name": "Kimi K3",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 15,
+      "cache_read": 0.3
+    }
+  },
   "merge-gateway/meta/muse-spark-1.1": {
     "name": "Muse Spark 1.1",
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@@ -45606,8 +48541,6 @@
     "name": "Palmyra X5",
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       "output": 6
@@ -45780,6 +48713,20 @@
       "cache_write": 18.75
     }
   },
+  "merge-gateway/anthropic/claude-opus-5": {
+    "name": "Claude Opus 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "cache_read": 0.5,
+      "cache_write": 6.25
+    }
+  },
   "merge-gateway/anthropic/claude-opus-4-1-20250805": {
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@@ -45836,9 +48783,9 @@
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     "image": true,
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-      "output": 22.5,
-      "cache_read": 0.375
+      "input": 5,
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   "merge-gateway/openai/gpt-oss-safeguard-120b": {
@@ -46056,9 +49003,9 @@
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     "image": true,
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+      "input": 0.2,
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   "merge-gateway/openai/gpt-5.2": {
@@ -46156,9 +49103,9 @@
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+      "input": 2,
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   "merge-gateway/openai/gpt-4.1": {
@@ -46231,7 +49178,7 @@
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   "merge-gateway/zai/glm-5.1": {
-    "name": "GLM 5.1",
+    "name": "GLM-5.1",
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     "reasoning": true,
     "tool_call": true,
@@ -46336,6 +49283,29 @@
       "cache_write": 0
     }
   },
+  "scx/MiniMax-M2.7": {
+    "name": "MiniMax-M2.7",
+    "context": 192000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+      "output": 1.79,
+      "cache_read": 0.05
+    }
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+  "scx/gpt-oss-120b": {
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+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
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   "cloudferro-sherlock/MiniMaxAI/MiniMax-M2.5": {
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@@ -46610,9 +49580,11 @@
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   "hyper/qwen3.7-flash": {
-    "name": "Qwen3.7-Flash",
+    "name": "Qwen3.7 Flash",
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+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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@@ -46623,6 +49595,7 @@
   "hyper/qwen3.7-plus": {
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     "context": 1000000,
+    "reasoning": true,
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     "image": true,
     "cost": {
@@ -46634,11 +49607,12 @@
   "hyper/glm-5": {
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     "context": 202752,
+    "reasoning": true,
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+      "input": 0.82,
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@@ -46668,22 +49642,24 @@
   "hyper/kimi-k2.5": {
     "name": "Kimi K2.5",
     "context": 262144,
+    "reasoning": true,
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+      "input": 0.558,
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   "hyper/minimax-m2.7": {
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+      "input": 0.436,
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@@ -46701,6 +49677,7 @@
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+    "reasoning": true,
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@@ -46711,6 +49688,7 @@
   "hyper/qwen3.6-max": {
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+    "reasoning": true,
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@@ -46757,12 +49735,13 @@
   "hyper/gemma-4-26b-a4b-it": {
     "name": "Gemma 4 26B A4B IT",
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+    "reasoning": true,
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+      "input": 0.124,
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   "hyper/llama-3.3-70b-instruct": {
@@ -46770,9 +49749,9 @@
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+      "input": 0.6066,
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   "hyper/deepseek-v4-pro": {
@@ -46787,6 +49766,29 @@
       "cache_read": 0.2
     }
   },
+  "hyper/qwen3.8-max": {
+    "name": "Qwen3.8 Max Preview",
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+    "reasoning": true,
+    "tool_call": true,
+    "cost": {
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+      "cache_read": 0.25
+    }
+  },
+  "hyper/deepseek-v4-flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
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   "hyper/gpt-oss-120b": {
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@@ -46794,14 +49796,15 @@
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   "hyper/kimi-k2.7-code": {
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+    "reasoning": true,
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     "image": true,
@@ -46814,6 +49817,7 @@
   "hyper/qwen3.6-flash": {
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+    "reasoning": true,
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@@ -46827,6 +49831,7 @@
   "hyper/kimi-k3": {
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+    "reasoning": true,
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@@ -46841,14 +49846,15 @@
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     "cost": {
@@ -47201,6 +50207,21 @@
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@@ -47404,558 +50425,6 @@
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@@ -59963,7 +62634,7 @@
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   "chutes/unsloth/Mistral-Nemo-Instruct-2407-TEE": {
@@ -59972,7 +62643,7 @@
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   "chutes/Qwen/Qwen3-235B-A22B-Thinking-2507-TEE": {
@@ -59984,7 +62655,7 @@
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@@ -59996,7 +62667,7 @@
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@@ -60009,7 +62680,7 @@
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@@ -60022,7 +62693,7 @@
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   "chutes/deepseek-ai/DeepSeek-V3.2-TEE": {
@@ -60034,7 +62705,19 @@
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+      "cache_read": 0.09999999999999998
+    }
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+  "chutes/deepseek-ai/DeepSeek-V4-Flash-0731-TEE": {
+    "name": "DeepSeek V4 Flash 0731 TEE",
+    "context": 1048576,
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   "chutes/moonshotai/Kimi-K2.6-TEE": {
@@ -60046,9 +62729,9 @@
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     "video": true,
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@@ -60062,7 +62745,7 @@
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   "cerebras/gemma-4-31b": {
@@ -60779,6 +63462,13 @@
     "reasoning": true,
     "tool_call": true
   },
+  "ollama-cloud/deepseek-v4-flash:0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true
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   "ollama-cloud/gemma4:31b": {
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@@ -63106,45 +65796,75 @@
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   "cortecs/claude-opus4-7": {
     "name": "Claude Opus 4.7",
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
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   "cortecs/qwen3-32b": {
     "name": "Qwen3 32B",
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+  "cortecs/mistral-medium-3.5": {
+    "name": "mistral-medium-3.5",
+    "context": 256000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+      "output": 5.57
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+  "cortecs/gpt-4.1-mini": {
+    "name": "GPT-4.1 mini",
+    "context": 1047576,
+    "tool_call": true,
+    "image": true,
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+      "output": 1.704,
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+  "cortecs/gpt-4o": {
+    "name": "GPT-4o",
+    "context": 128000,
+    "tool_call": true,
+    "image": true,
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+      "output": 10.635,
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   "cortecs/glm-5": {
-    "name": "GLM 5",
+    "name": "GLM-5",
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     "reasoning": true,
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   "cortecs/claude-4-6-sonnet": {
@@ -63152,43 +65872,136 @@
     "context": 1000000,
     "reasoning": true,
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+      "cache_write": 3.999
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+  "cortecs/gemini-3.5-flash": {
+    "name": "Gemini 3.5 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+      "output": 8.898,
+      "cache_read": 0.148,
+      "cache_write": 0.988
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+  },
+  "cortecs/qwen3.6-35b-a3b": {
+    "name": "Qwen3.6 35B-A3B",
+    "context": 262000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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   },
   "cortecs/claude-haiku-4-5": {
-    "name": "Claude Haiku 4.5",
+    "name": "Claude Haiku 4.5 (latest)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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   },
-  "cortecs/glm-4.5-air": {
-    "name": "GLM 4.5 Air",
-    "context": 131072,
+  "cortecs/holo2-30b-a3b": {
+    "name": "holo2-30b-a3b",
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+    "reasoning": true,
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+  "cortecs/apertus-70b": {
+    "name": "apertus-70b",
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     "reasoning": true,
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+      "input": 1.393,
+      "output": 2.228
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+  "cortecs/voxtral-small-2507": {
+    "name": "voxtral-small-2507",
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+    "tool_call": true,
+    "structured_output": true,
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+  "cortecs/gemini-2.5-flash": {
+    "name": "Gemini 2.5 Flash",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+      "cache_read": 0.029,
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+  "cortecs/gpt-5.6-sol": {
+    "name": "GPT-5.6 Sol",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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   "cortecs/glm-5.1": {
     "name": "GLM-5.1",
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     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
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+      "cache_read": 0.346
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+  },
+  "cortecs/gpt-oss-safeguard-120b": {
+    "name": "GPT OSS Safeguard 120B",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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   },
   "cortecs/deepseek-v4-flash": {
@@ -63197,42 +66010,79 @@
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   "cortecs/kimi-k2.5": {
     "name": "Kimi K2.5",
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+    "context": 262144,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
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   },
   "cortecs/minimax-m2.7": {
-    "name": "MiniMax-m2.7",
-    "context": 202752,
+    "name": "MiniMax-M2.7",
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     "reasoning": true,
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+      "input": 0.668,
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+  },
+  "cortecs/gpt-4.1-nano": {
+    "name": "GPT-4.1 nano",
+    "context": 1047576,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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   },
   "cortecs/qwen3-coder-30b-a3b-instruct": {
-    "name": "Qwen3 Coder 30B A3B Instruct",
-    "context": 262000,
+    "name": "Qwen3-Coder 30B-A3B Instruct",
+    "context": 262144,
+    "tool_call": true,
+    "structured_output": true,
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+      "output": 0.245,
+      "cache_read": 0.014
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+  },
+  "cortecs/gpt-oss-20b": {
+    "name": "GPT OSS 20B",
+    "context": 131000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 0.222
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+  },
+  "cortecs/qwen3-vl-235b-a22b": {
+    "name": "qwen3-vl-235b-a22b",
+    "context": 256000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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+      "output": 3.119,
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   },
   "cortecs/glm-4.7-flash": {
@@ -63240,88 +66090,253 @@
     "context": 203000,
     "reasoning": true,
     "tool_call": true,
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-      "output": 0.53
+      "input": 0.08,
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+  },
+  "cortecs/mistral-nemo-instruct-2407": {
+    "name": "mistral-nemo-instruct-2407",
+    "context": 128000,
+    "tool_call": true,
+    "structured_output": true,
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   "cortecs/glm-5.2": {
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     "tool_call": true,
     "structured_output": true,
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-      "output": 4.53,
-      "cache_read": 0.39
+      "input": 1.2,
+      "output": 4.2,
+      "cache_read": 0.26
+    }
+  },
+  "cortecs/ministral-8b-2512": {
+    "name": "ministral-8b-2512",
+    "context": 256000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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   },
   "cortecs/qwen3-next-80b-a3b-thinking": {
-    "name": "Qwen3 Next 80B A3B Thinking",
+    "name": "Qwen3-Next 80B-A3B (Thinking)",
     "context": 128000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
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-      "output": 1.311
+      "input": 0.149,
+      "output": 1.195
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+  },
+  "cortecs/ministral-14b-2512": {
+    "name": "ministral-14b-2512",
+    "context": 256000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 0.223,
+      "cache_read": 0.022
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+  },
+  "cortecs/ministral-3b-2512": {
+    "name": "ministral-3b-2512",
+    "context": 256000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 0.111,
+      "cache_read": 0.011
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+  },
+  "cortecs/qwen3.5-9b": {
+    "name": "Qwen3.5 9B",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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   },
   "cortecs/kimi-k2.6": {
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-    "tool_call": true,
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-  "cortecs/hy3": {
-    "name": "Hy3",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
+    "image": true,
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+      "output": 3.38,
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+  "cortecs/mistral-medium-2508": {
+    "name": "mistral-medium-2508",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
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+      "cache_read": 0.045
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+  "cortecs/pixtral-12b-2409": {
+    "name": "pixtral-12b-2409",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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+  "cortecs/pixtral-large-2502": {
+    "name": "pixtral-large-2502",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 5.978
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+  "cortecs/qwen3.6-27b": {
+    "name": "Qwen3.6 27B",
+    "context": 262000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
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+      "output": 3.008
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+  "cortecs/gpt-4o-mini": {
+    "name": "GPT-4o mini",
+    "context": 128000,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 0.638,
+      "cache_read": 0.081
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+  },
+  "cortecs/minimax-m3": {
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+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 1.977,
+      "cache_read": 0.099
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+  },
+  "cortecs/gpt-5": {
+    "name": "GPT-5",
+    "context": 400000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
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+      "output": 10.96,
+      "cache_read": 0.156
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+  },
+  "cortecs/nemotron-nano-v2-12b": {
+    "name": "nemotron-nano-v2-12b",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+      "output": 0.707
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+  },
+  "cortecs/gemma-4-26b-a4b-it": {
+    "name": "Gemma 4 26B A4B IT",
+    "context": 262000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
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+  "cortecs/mistral-large-2402": {
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+    "reasoning": true,
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+    "structured_output": true,
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+      "output": 12.952
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+    "tool_call": true,
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+    "cost": {
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+      "output": 1.097
+    }
+  },
+  "cortecs/qwen3guard-gen-8b": {
+    "name": "qwen3guard-gen-8b",
+    "context": 32000,
+    "cost": {
+      "input": 0,
+      "output": 0
     }
   },
   "cortecs/deepseek-v4-pro": {
@@ -63330,9 +66345,20 @@
     "reasoning": true,
     "tool_call": true,
     "cost": {
-      "input": 1.553,
-      "output": 3.106,
-      "cache_read": 0.003625
+      "input": 1.73,
+      "output": 3.46,
+      "cache_read": 0.432
+    }
+  },
+  "cortecs/gemma-3-27b-it": {
+    "name": "gemma-3-27b-it",
+    "context": 131000,
+    "reasoning": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.099,
+      "output": 0.299
     }
   },
   "cortecs/deepseek-r1-0528": {
@@ -63340,9 +66366,45 @@
     "context": 164000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.585,
-      "output": 2.307
+      "input": 0.652,
+      "output": 2.57,
+      "cache_read": 0.163
+    }
+  },
+  "cortecs/llama-3.1-nemotron-ultra-253b-v1": {
+    "name": "llama-3.1-nemotron-ultra-253b-v1",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.598,
+      "output": 1.794
+    }
+  },
+  "cortecs/nvidia-nemotron-3-nano-30b-a3b": {
+    "name": "nvidia-nemotron-3-nano-30b-a3b",
+    "context": 256000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.06,
+      "output": 0.24
+    }
+  },
+  "cortecs/nova-2-lite": {
+    "name": "nova-2-lite",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.373,
+      "output": 3.144
     }
   },
   "cortecs/gpt-5.4": {
@@ -63353,47 +66415,53 @@
     "structured_output": true,
     "image": true,
     "cost": {
-      "input": 3,
-      "output": 16.13,
-      "cache_read": 0.25
+      "input": 2.898,
+      "output": 15.453,
+      "cache_read": 0.242
     }
   },
-  "cortecs/glm-4.5": {
-    "name": "GLM 4.5",
-    "context": 131072,
+  "cortecs/cosmos3-super-reasoner": {
+    "name": "cosmos3-super-reasoner",
+    "context": 256000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.099,
+      "output": 0.296
+    }
+  },
+  "cortecs/deepseek-v4-flash-0731": {
+    "name": "DeepSeek V4 Flash 0731",
+    "context": 1048576,
     "reasoning": true,
     "tool_call": true,
     "cost": {
-      "input": 0.67,
-      "output": 2.46
-    }
-  },
-  "cortecs/deepseek-v3-0324": {
-    "name": "DeepSeek V3 0324",
-    "context": 128000,
-    "tool_call": true,
-    "cost": {
-      "input": 0.551,
-      "output": 1.654
+      "input": 0.258,
+      "output": 0.31,
+      "cache_read": 0.0645
     }
   },
   "cortecs/mixtral-8x7B-instruct-v0.1": {
     "name": "Mixtral 8x7B Instruct v0.1",
     "context": 32000,
     "reasoning": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.438,
-      "output": 0.68
+      "input": 0.488,
+      "output": 0.758
     }
   },
   "cortecs/qwen3-235b-a22b-instruct-2507": {
     "name": "Qwen3 235B A22B Instruct 2507",
-    "context": 131000,
+    "context": 262000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.062,
-      "output": 0.408
+      "input": 0.069,
+      "output": 0.455,
+      "cache_read": 0.018
     }
   },
   "cortecs/claude-opus4-8": {
@@ -63401,43 +66469,37 @@
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 5.64,
-      "output": 28.198,
-      "cache_read": 0.563,
-      "cache_write": 7.049
+      "input": 5.437,
+      "output": 27.186,
+      "cache_read": 0.544,
+      "cache_write": 6.797
+    }
+  },
+  "cortecs/mistral-small-2603": {
+    "name": "Mistral Small 4",
+    "context": 262144,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.143,
+      "output": 0.568,
+      "cache_read": 0.014
     }
   },
   "cortecs/codestral-2508": {
     "name": "Codestral 2508",
     "context": 256000,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.3,
-      "output": 0.9,
-      "cache_read": 0.03
-    }
-  },
-  "cortecs/qwen-2.5-72b-instruct": {
-    "name": "Qwen2.5 72B Instruct",
-    "context": 33000,
-    "tool_call": true,
-    "cost": {
-      "input": 0.062,
-      "output": 0.231
-    }
-  },
-  "cortecs/llama-4-maverick": {
-    "name": "Llama 4 Maverick 17B Instruct",
-    "context": 1000000,
-    "tool_call": true,
-    "image": true,
-    "cost": {
-      "input": 0.124,
-      "output": 0.603,
-      "cache_read": 0.03,
-      "cache_write": 0.151
+      "input": 0.334,
+      "output": 1.003,
+      "cache_read": 0.033
     }
   },
   "cortecs/deepseek-v3.2": {
@@ -63445,69 +66507,97 @@
     "context": 163840,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.266,
-      "output": 0.444
-    }
-  },
-  "cortecs/intellect-3": {
-    "name": "INTELLECT 3",
-    "context": 128000,
-    "reasoning": true,
-    "tool_call": true,
-    "cost": {
-      "input": 0.219,
-      "output": 1.202
+      "input": 0.296,
+      "output": 0.495,
+      "cache_read": 0.075
     }
   },
   "cortecs/claude-sonnet-4": {
-    "name": "Claude Sonnet 4",
+    "name": "Claude Sonnet 4 (latest)",
     "context": 200000,
+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 3.307,
-      "output": 16.536
+      "input": 2.898,
+      "output": 14.493,
+      "cache_read": 0.29,
+      "cache_write": 3.624
+    }
+  },
+  "cortecs/mistral-small-2503": {
+    "name": "mistral-small-2503",
+    "context": 128000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.111,
+      "output": 0.334
+    }
+  },
+  "cortecs/gemini-3.1-flash-lite": {
+    "name": "Gemini 3.1 Flash Lite",
+    "context": 1048576,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.272,
+      "output": 1.631,
+      "cache_read": 0.025,
+      "cache_write": 0.082
     }
   },
   "cortecs/nova-pro-v1": {
     "name": "Nova Pro 1.0",
     "context": 300000,
+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 1.016,
-      "output": 4.061
+      "input": 0.918,
+      "output": 3.671
     }
   },
   "cortecs/glm-4.7": {
-    "name": "GLM 4.7",
-    "context": 198000,
+    "name": "GLM-4.7",
+    "context": 202752,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.45,
-      "output": 2.23
+      "input": 0.78,
+      "output": 2.785
     }
   },
   "cortecs/gpt-oss-120b": {
-    "name": "GPT Oss 120b",
-    "context": 128000,
+    "name": "GPT OSS 120B",
+    "context": 131000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0,
-      "output": 0
+      "input": 0.089,
+      "output": 0.446,
+      "cache_read": 0.01
     }
   },
   "cortecs/minimax-m2.5": {
     "name": "MiniMax-M2.5",
-    "context": 196608,
+    "context": 196680,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.32,
-      "output": 1.18
+      "input": 0.296,
+      "output": 1.087,
+      "cache_read": 0.03
     }
   },
   "cortecs/minimax-m2": {
@@ -63515,9 +66605,45 @@
     "context": 400000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.39,
-      "output": 1.57
+      "input": 0.349,
+      "output": 1.405
+    }
+  },
+  "cortecs/gpt-5.6-luna": {
+    "name": "GPT-5.6 Luna",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 1.1,
+      "output": 6.599,
+      "cache_read": 0.11
+    }
+  },
+  "cortecs/gemma-4-31b-it": {
+    "name": "Gemma 4 31B IT",
+    "context": 262000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.223,
+      "output": 0.39
+    }
+  },
+  "cortecs/hermes-4-405b": {
+    "name": "hermes-4-405b",
+    "context": 128000,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.996,
+      "output": 2.989
     }
   },
   "cortecs/claude-opus4-6": {
@@ -63525,10 +66651,33 @@
     "context": 1000000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 5.98,
-      "output": 29.89
+      "input": 5.313,
+      "output": 26.561,
+      "cache_read": 0.531,
+      "cache_write": 6.645
+    }
+  },
+  "cortecs/gpt-5-mini": {
+    "name": "GPT-5 Mini",
+    "context": 400000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 0.279,
+      "output": 2.192,
+      "cache_read": 0.056
+    }
+  },
+  "cortecs/mistral-7b-instruct-v0.2": {
+    "name": "mistral-7b-instruct-v0.2",
+    "context": 32000,
+    "cost": {
+      "input": 0.159,
+      "output": 0.219
     }
   },
   "cortecs/kimi-k2.7-code": {
@@ -63538,51 +66687,118 @@
     "tool_call": true,
     "structured_output": true,
     "image": true,
-    "video": true,
     "cost": {
-      "input": 1.28,
-      "output": 4.63,
-      "cache_read": 0.32
+      "input": 0.75,
+      "output": 3.5,
+      "cache_read": 0.201
+    }
+  },
+  "cortecs/mistral-small-3.2-24b-instruct-2506": {
+    "name": "mistral-small-3.2-24b-instruct-2506",
+    "context": 131000,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.1,
+      "output": 0.312
+    }
+  },
+  "cortecs/nova-micro-v1": {
+    "name": "nova-micro-v1",
+    "context": 128000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.04,
+      "output": 0.159
     }
   },
   "cortecs/claude-opus4-5": {
-    "name": "Claude Opus 4.5",
+    "name": "Claude Opus 4.5 (latest)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 5.313,
+      "output": 26.568,
+      "cache_read": 0.531,
+      "cache_write": 6.645
+    }
+  },
+  "cortecs/nvidia-nemotron-3-nano-omni": {
+    "name": "nvidia-nemotron-3-nano-omni",
+    "context": 300000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.059,
+      "output": 0.237
+    }
+  },
+  "cortecs/gpt-5.1": {
+    "name": "GPT-5.1",
+    "context": 400000,
+    "reasoning": true,
+    "tool_call": true,
     "image": true,
     "cost": {
-      "input": 5.98,
-      "output": 29.89
+      "input": 1.375,
+      "output": 10.96,
+      "cache_read": 0.156
     }
   },
-  "cortecs/devstral-2512": {
-    "name": "Devstral 2 2512",
-    "context": 262000,
-    "tool_call": true,
-    "cost": {
-      "input": 0,
-      "output": 0
-    }
-  },
-  "cortecs/kimi-k2-thinking": {
-    "name": "Kimi K2 Thinking",
+  "cortecs/qwen3-30b-a3b-instruct-2507": {
+    "name": "qwen3-30b-a3b-instruct-2507",
     "context": 262000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.656,
-      "output": 2.731
+      "input": 0.099,
+      "output": 0.299
+    }
+  },
+  "cortecs/nova-lite-v1": {
+    "name": "nova-lite-v1",
+    "context": 300000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.069,
+      "output": 0.275
+    }
+  },
+  "cortecs/devstral-2512": {
+    "name": "Devstral 2",
+    "context": 262000,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.446,
+      "output": 2.228,
+      "cache_read": 0.045
     }
   },
   "cortecs/gemini-2.5-pro": {
     "name": "Gemini 2.5 Pro",
     "context": 1048576,
+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 1.654,
-      "output": 11.024
+      "input": 1.495,
+      "output": 9.964,
+      "cache_read": 0.242,
+      "cache_write": 0.434
     }
   },
   "cortecs/kimi-k3": {
@@ -63594,53 +66810,67 @@
     "image": true,
     "cost": {
       "input": 3,
-      "output": 15
+      "output": 14.999
     }
   },
-  "cortecs/kimi-k2-instruct": {
-    "name": "Kimi K2 Instruct",
-    "context": 131000,
-    "tool_call": true,
-    "cost": {
-      "input": 0.551,
-      "output": 2.646
-    }
-  },
-  "cortecs/glm-5-turbo": {
-    "name": "GLM-5-Turbo",
-    "context": 200000,
+  "cortecs/llama-3.1-8b-instruct": {
+    "name": "llama-3.1-8b-instruct",
+    "context": 128000,
     "reasoning": true,
     "tool_call": true,
     "structured_output": true,
     "cost": {
-      "input": 1.235,
-      "output": 4.118,
-      "cache_read": 0.308,
+      "input": 0.167,
+      "output": 0.167
+    }
+  },
+  "cortecs/gpt-5-nano": {
+    "name": "GPT-5 Nano",
+    "context": 400000,
+    "reasoning": true,
+    "tool_call": true,
+    "image": true,
+    "cost": {
+      "input": 0.06,
+      "output": 0.439,
+      "cache_read": 0.019
+    }
+  },
+  "cortecs/glm-5-turbo": {
+    "name": "GLM-5-Turbo",
+    "context": 202752,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 1.186,
+      "output": 3.955,
+      "cache_read": 0.296,
       "cache_write": 1.544
     }
   },
   "cortecs/glm-5v-turbo": {
     "name": "GLM-5V-Turbo",
-    "context": 200000,
+    "context": 202752,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
-    "video": true,
     "cost": {
-      "input": 1.235,
-      "output": 4.118,
-      "cache_read": 0.308,
+      "input": 1.186,
+      "output": 3.955,
+      "cache_read": 0.296,
       "cache_write": 1.544
     }
   },
   "cortecs/qwen3.5-397b-a17b": {
-    "name": "Qwen3.5 397B A17B",
-    "context": 250000,
+    "name": "Qwen3.5 397B-A17B",
+    "context": 262000,
     "reasoning": true,
     "tool_call": true,
     "cost": {
-      "input": 0.6,
-      "output": 3.6
+      "input": 0.668,
+      "output": 4.01
     }
   },
   "cortecs/minimax-m2.1": {
@@ -63648,28 +66878,81 @@
     "context": 196000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.34,
-      "output": 1.34
+      "input": 0.359,
+      "output": 1.435
+    }
+  },
+  "cortecs/gpt-5.6-terra": {
+    "name": "GPT-5.6 Terra",
+    "context": 1050000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 2.749,
+      "output": 16.498,
+      "cache_read": 0.275
+    }
+  },
+  "cortecs/claude-sonnet-5": {
+    "name": "Claude Sonnet 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 2.2,
+      "output": 11,
+      "cache_read": 0.219,
+      "cache_write": 2.749
     }
   },
   "cortecs/gpt-4.1": {
-    "name": "GPT 4.1",
+    "name": "GPT-4.1",
     "context": 1047576,
     "tool_call": true,
     "image": true,
     "cost": {
-      "input": 2.354,
-      "output": 9.417
+      "input": 2.192,
+      "output": 8.769,
+      "cache_read": 0.546
+    }
+  },
+  "cortecs/qwen3guard-gen-0.6b": {
+    "name": "qwen3guard-gen-0.6b",
+    "context": 32000,
+    "cost": {
+      "input": 0,
+      "output": 0
     }
   },
   "cortecs/llama-3.1-405b-instruct": {
     "name": "Llama 3.1 405B Instruct",
     "context": 128000,
+    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0,
-      "output": 0
+      "input": 1.95,
+      "output": 1.95
+    }
+  },
+  "cortecs/claude-opus-5": {
+    "name": "Claude Opus 5",
+    "context": 1000000,
+    "reasoning": true,
+    "tool_call": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 5.5,
+      "output": 27.498,
+      "cache_read": 0.55,
+      "cache_write": 6.874
     }
   },
   "cortecs/qwen3-coder-next": {
@@ -63677,51 +66960,78 @@
     "context": 256000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.158,
-      "output": 0.84
+      "input": 0.167,
+      "output": 0.891
+    }
+  },
+  "cortecs/mistral-7b-instruct-v0.3": {
+    "name": "mistral-7b-instruct-v0.3",
+    "context": 127000,
+    "tool_call": true,
+    "structured_output": true,
+    "cost": {
+      "input": 0.111,
+      "output": 0.111
     }
   },
   "cortecs/qwen3.5-122b-a10b": {
-    "name": "Qwen3.5 122B A10B",
+    "name": "Qwen3.5 122B-A10B",
     "context": 262144,
     "reasoning": true,
     "tool_call": true,
     "cost": {
-      "input": 0.444,
-      "output": 3.106
+      "input": 0.495,
+      "output": 3.46,
+      "cache_read": 0.124
     }
   },
   "cortecs/hermes-4-70b": {
     "name": "Hermes 4 70B",
     "context": 128000,
-    "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "cost": {
-      "input": 0.116,
-      "output": 0.358
+      "input": 0.129,
+      "output": 0.399
     }
   },
   "cortecs/claude-4-5-sonnet": {
-    "name": "Claude 4.5 Sonnet",
+    "name": "Claude Sonnet 4.5 (latest)",
     "context": 200000,
     "reasoning": true,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 3.259,
-      "output": 16.296
+      "input": 2.989,
+      "output": 14.945,
+      "cache_read": 0.326,
+      "cache_write": 4.078
     }
   },
   "cortecs/mistral-large-2512": {
-    "name": "Mistral Large 3 2512",
+    "name": "Mistral Large 3",
     "context": 256000,
     "tool_call": true,
+    "structured_output": true,
     "image": true,
     "cost": {
-      "input": 0.5,
-      "output": 1.5,
-      "cache_read": 0.05
+      "input": 0.557,
+      "output": 1.671,
+      "cache_read": 0.056
+    }
+  },
+  "cortecs/qwen2.5-vl-72b-instruct": {
+    "name": "qwen2.5-vl-72b-instruct",
+    "context": 32000,
+    "reasoning": true,
+    "structured_output": true,
+    "image": true,
+    "cost": {
+      "input": 0.25,
+      "output": 0.747
     }
   },
   "xiaomi-token-plan-sgp/mimo-v2.5-pro": {
diff --git a/src/lib/subagent-settings.ts b/src/lib/subagent-settings.ts
new file mode 100644
index 0000000..1c4d482
--- /dev/null
+++ b/src/lib/subagent-settings.ts
@@ -0,0 +1,155 @@
+import type { ExperimentalEnvStatus, SecondaryModelConfig } from "../types";
+
+/**
+ * Helpers for the `[experimental]` and `[secondary_model]` sections of the
+ * Kimi Code config.toml. Both live in `config.raw_other` (the pass-through
+ * bucket for unknown top-level TOML sections), so these helpers read/write
+ * that JSON object directly.
+ */
+
+function asRecord(value: unknown): Record<string, unknown> {
+  if (value && typeof value === "object" && !Array.isArray(value)) {
+    return value as Record<string, unknown>;
+  }
+  return {};
+}
+
+function isTruthyEnv(value: string | undefined): boolean {
+  if (!value) return false;
+  return ["1", "true", "yes", "on"].includes(value.trim().toLowerCase());
+}
+
+// ---------------------------------------------------------------------------
+// [experimental] — experimental feature flags
+// ---------------------------------------------------------------------------
+
+export interface ExperimentalFlagDef {
+  /** Flag id as stored in config.toml `[experimental]` (e.g. "secondary-model"). */
+  id: string;
+  /** Single-feature env var that can force the flag (locks the UI toggle). */
+  envVar: string;
+}
+
+/** Known experimental flags (Kimi Code v1 + v2 registries, merged). */
+export const EXPERIMENTAL_FLAGS: ExperimentalFlagDef[] = [
+  { id: "secondary-model", envVar: "KIMI_CODE_EXPERIMENTAL_SECONDARY_MODEL" },
+  { id: "tool-select", envVar: "KIMI_CODE_EXPERIMENTAL_TOOL_SELECT" },
+  { id: "acp-v2", envVar: "KIMI_CODE_EXPERIMENTAL_ACP_V2" },
+  {
+    id: "persistence_minidb_readmodel",
+    envVar: "KIMI_CODE_EXPERIMENTAL_PERSISTENCE_MINIDB_READMODEL",
+  },
+];
+
+export const EXPERIMENTAL_MASTER_ENV = "KIMI_CODE_EXPERIMENTAL_FLAG";
+
+/** Whether the master env var is set to a truthy value (locks every flag on). */
+export function isMasterEnvOn(env: ExperimentalEnvStatus | null): boolean {
+  return isTruthyEnv(env?.[EXPERIMENTAL_MASTER_ENV]);
+}
+
+/** Whether a flag's value is overridden by its env var (set & non-empty),
+ *  locking the config toggle. Kimi Code lets the env var force the flag on
+ *  *or* off, so a set env var locks regardless of its truthiness. */
+export function isFlagLockedByEnv(
+  env: ExperimentalEnvStatus | null,
+  flag: ExperimentalFlagDef
+): boolean {
+  return env !== null && flag.envVar in env;
+}
+
+/** The value a locked flag is forced to by its env var. */
+export function forcedEnvValue(
+  env: ExperimentalEnvStatus | null,
+  flag: ExperimentalFlagDef
+): boolean {
+  return isTruthyEnv(env?.[flag.envVar]);
+}
+
+/** Read `[experimental]` from raw_other: `{ flagId: boolean }`. */
+export function getExperimentalFlags(rawOther: unknown): Record<string, boolean> {
+  const section = asRecord(rawOther)["experimental"];
+  const flags = asRecord(section);
+  const out: Record<string, boolean> = {};
+  for (const [k, v] of Object.entries(flags)) {
+    out[k] = v === true;
+  }
+  return out;
+}
+
+/** Set one flag in `[experimental]`. Removing all flags drops the section. */
+export function setExperimentalFlag(
+  rawOther: unknown,
+  id: string,
+  enabled: boolean
+): unknown {
+  const root = { ...asRecord(rawOther) };
+  const flags = { ...getExperimentalFlags(rawOther) };
+  if (enabled) {
+    flags[id] = true;
+  } else {
+    delete flags[id];
+  }
+  if (Object.keys(flags).length > 0) {
+    root.experimental = flags;
+  } else {
+    delete root.experimental;
+  }
+  return root;
+}
+
+// ---------------------------------------------------------------------------
+// [secondary_model] — subagent secondary model
+// ---------------------------------------------------------------------------
+
+/** Read `[secondary_model]` from raw_other; `{}` when absent. */
+export function getSecondaryModel(rawOther: unknown): SecondaryModelConfig {
+  const section = asRecord(rawOther)["secondary_model"];
+  const cfg = asRecord(section);
+  const out: SecondaryModelConfig = {};
+  if (typeof cfg.model === "string" && cfg.model !== "") out.model = cfg.model;
+  if (typeof cfg.default_effort === "string" && cfg.default_effort !== "")
+    out.default_effort = cfg.default_effort;
+  if (typeof cfg.max_output_size === "number" && cfg.max_output_size > 0)
+    out.max_output_size = cfg.max_output_size;
+  if (typeof cfg.max_context_size === "number" && cfg.max_context_size > 0)
+    out.max_context_size = cfg.max_context_size;
+  return out;
+}
+
+/**
+ * Write `[secondary_model]` with only the `model` field — no patch fields.
+ * Subagents then bind the pointed model entry directly and inherit its
+ * settings (context size, capabilities, effort fallback), which also keeps
+ * usage records keyed on the real model alias instead of the synthesized
+ * `__secondary__` derived entry. Unknown fields already present in the
+ * section are preserved; the known patch fields (`default_effort`,
+ * `max_output_size`, `max_context_size`) are dropped so stale patches are
+ * cleaned up when the model is re-picked.
+ */
+export function setSecondaryModelOnly(
+  rawOther: unknown,
+  alias: string
+): unknown {
+  const root = { ...asRecord(rawOther) };
+  const section = asRecord(asRecord(rawOther)["secondary_model"]);
+  const next: Record<string, unknown> = { model: alias };
+  const knownFields: ReadonlySet<string> = new Set([
+    "model",
+    "default_effort",
+    "max_output_size",
+    "max_context_size",
+  ]);
+  for (const [k, v] of Object.entries(section)) {
+    if (!knownFields.has(k)) next[k] = v;
+  }
+  root.secondary_model = next;
+  return root;
+}
+
+/** Remove `[secondary_model]` entirely (the "not configured" option). */
+export function clearSecondaryModel(rawOther: unknown): unknown {
+  const root = { ...asRecord(rawOther) };
+  delete root.secondary_model;
+  return root;
+}
diff --git a/src/types/dashboard.ts b/src/types/dashboard.ts
index 93581d5..ebf18d7 100644
--- a/src/types/dashboard.ts
+++ b/src/types/dashboard.ts
@@ -24,6 +24,8 @@ export interface ModelRow extends TotalsRow {
   modelResolved: string;
   priceId: string;
   costEstimated: boolean;
+  /** True when any record in this row came from a subagent (secondary-model) request. */
+  isSecondary: boolean;
 }
 
 export interface RecentRow {
@@ -40,6 +42,8 @@ export interface RecentRow {
   costEstimated: boolean;
   priceId: string;
   fromEnv: boolean;
+  /** True when this request came from a subagent (secondary-model) call. */
+  isSecondary: boolean;
 }
 
 export interface RangeStats {
diff --git a/src/types/index.ts b/src/types/index.ts
index 7add3ec..306ad90 100644
--- a/src/types/index.ts
+++ b/src/types/index.ts
@@ -127,3 +127,19 @@ export interface AgentSettings {
   permission?: { rules?: PermissionRule[] };
   hooks?: Hook[];
 }
+
+/**
+ * Kimi Code `[secondary_model]` section of config.toml: the secondary model
+ * bound to newly spawned subagents (experimental feature).
+ * `model` points at an alias defined in `[models]`; the remaining fields are
+ * a patch applied on top of the referenced entry (subagents only).
+ */
+export interface SecondaryModelConfig {
+  model?: string;
+  default_effort?: string;
+  max_output_size?: number;
+  max_context_size?: number;
+}
+
+/** Values of experimental env vars that are currently set (non-empty). */
+export type ExperimentalEnvStatus = Record<string, string>;